{
  "total": 235,
  "topics": [
    {
      "id": 450818,
      "title": "Recap of Competition - Congratulations to the Winners!",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 447449,
      "title": "1st Place Solution: Team Oxygen",
      "comment_count": 49,
      "views": 0,
      "votes": 133
    },
    {
      "id": 530368,
      "title": "Downloading data after the competition",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 435188,
      "title": "Submissions ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 447453,
      "title": "2nd Place Solution",
      "comment_count": 28,
      "views": 0,
      "votes": 105
    },
    {
      "id": 431273,
      "title": "3D Image classification resources",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 438690,
      "title": "Data DICOM to 3 different types of Image (Grayscale) ",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 433004,
      "title": "Reduced Dataset from 400 GB to 7.5 GB",
      "comment_count": 5,
      "views": 0,
      "votes": 15
    },
    {
      "id": 465383,
      "title": "number of CT scan per series",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 453636,
      "title": "59th Place Solution for the Detect and Classify Traumatic Abdominal Injuries Competition",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 427232,
      "title": "Computer Vision in Healthcare (formats) and Highlights of the Last RSNA Competition.",
      "comment_count": 3,
      "views": 0,
      "votes": 44
    },
    {
      "id": 459058,
      "title": "74th Place Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 453827,
      "title": "439th-Solution-RSNA_ATD",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 453685,
      "title": "382nd Place Solution for the RSNA 2023 Abdominal Trauma Detection",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 453631,
      "title": "73rd Place Solution for the RSNA 2023 Abdominal Trauma Detection Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 453657,
      "title": "548th Place Solution for the RSNA 2023 Abdominal Trauma Detection Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 453651,
      "title": "MLDA-G12 - Ensembling: EfficientNet_b4 + Weighted Baseline - Part 1",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 452285,
      "title": "64th Place Solution | YOLO Extravasation Classification",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 452452,
      "title": "Solution Write-up: Unleashing the Healing Potential: Abdominal Trauma",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 452992,
      "title": "514th Place Solution for the RSNA 2023 Abdominal Trauma Detection Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452591,
      "title": "51 Place Solution for the RSNA 2023 Abdominal Trauma Detection",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452255,
      "title": "63rd Place Solution for the RSNA 2023 Abdominal Trauma Detection",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 448086,
      "title": "2nd Place Code",
      "comment_count": 3,
      "views": 0,
      "votes": 28
    },
    {
      "id": 447651,
      "title": "32nd place overview + mistakes",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 451396,
      "title": "97th Place Solution for the RSNA 2023 Abdominal Trauma Detection",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 452146,
      "title": "Kaggle Solution Write-Up",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 448903,
      "title": "1st Place Code + Full Solution Released ",
      "comment_count": 0,
      "views": 0,
      "votes": 22
    },
    {
      "id": 450279,
      "title": "79th place - beginner tutorial in applying a previous solution with minimal changes and training time ",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 450350,
      "title": "Dataset Dowloading",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 447706,
      "title": "8th Place Solution & Code",
      "comment_count": 7,
      "views": 0,
      "votes": 28
    },
    {
      "id": 448208,
      "title": "6th Place Solution",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 447848,
      "title": "4th Place Solution",
      "comment_count": 6,
      "views": 0,
      "votes": 21
    },
    {
      "id": 447464,
      "title": "3rd Place Solution",
      "comment_count": 10,
      "views": 0,
      "votes": 53
    },
    {
      "id": 447779,
      "title": "17th Place Solution - How to Learn and Practice as a Beginner",
      "comment_count": 2,
      "views": 0,
      "votes": 20
    },
    {
      "id": 447539,
      "title": "12th place solution",
      "comment_count": 8,
      "views": 0,
      "votes": 23
    },
    {
      "id": 447450,
      "title": "10th Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 38
    },
    {
      "id": 447553,
      "title": "14th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 28
    },
    {
      "id": 447448,
      "title": "16th place solution ",
      "comment_count": 3,
      "views": 0,
      "votes": 25
    },
    {
      "id": 447506,
      "title": "9th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 21
    },
    {
      "id": 447549,
      "title": "7th Place Solution & Code",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 447367,
      "title": "Well, This is interesting!!",
      "comment_count": 4,
      "views": 0,
      "votes": 19
    },
    {
      "id": 448282,
      "title": "Did anyone successfully utilize two aligned series?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 447501,
      "title": "𝐄𝐱𝐭𝐫𝐚𝐯𝐚𝐬𝐚𝐭𝐢𝐨𝐧 𝐬𝐞𝐫𝐢𝐞𝐬 𝐜𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐨𝐧 𝐘𝐎𝐋𝐎 𝐜𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐜𝐞 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡.",
      "comment_count": 0,
      "views": 0,
      "votes": 14
    },
    {
      "id": 446618,
      "title": "Let's share some memes related to the competition (and the extension)",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 447452,
      "title": "Any_injury calculation is faulty",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 447481,
      "title": "Question on the validity/usefulness of the train mean/weighted mean submissions here",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 446853,
      "title": "Can't submit because \"Submit\" button is keep disappearing",
      "comment_count": 11,
      "views": 0,
      "votes": 9
    },
    {
      "id": 447067,
      "title": "Will the extension stay?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 446962,
      "title": "Competition Extension Due to Submission Issues - 48 hour extension",
      "comment_count": 12,
      "views": 0,
      "votes": -35
    },
    {
      "id": 446306,
      "title": "0.44-0.46 mystery",
      "comment_count": 11,
      "views": 0,
      "votes": 6
    },
    {
      "id": 446469,
      "title": "Awaiting private results. Results of the competition for me.",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 446958,
      "title": "Submission button is not working, is continously refreshing",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 446828,
      "title": "Submit by deadline is enough?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 433658,
      "title": "Subset of RSNA full dataset",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 446932,
      "title": "Submission issues investigation [resolved]",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 445500,
      "title": "would be shake up?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 441557,
      "title": "Tips on Beating the Baseline",
      "comment_count": 11,
      "views": 0,
      "votes": 74
    },
    {
      "id": 445663,
      "title": "Do submission notebooks use the same hardware?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 444889,
      "title": "The CategoricalCrossentropy Problem",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 445120,
      "title": "Failed scoring",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 444011,
      "title": "Size of Test Set",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 444399,
      "title": "How can I create training data for the semantic segmentation model?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 444265,
      "title": "Active Extravasation on Arterial / PV phase",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 444286,
      "title": "Introductory webinar related to the competition",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 445214,
      "title": "Submission Scoring Error",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 445071,
      "title": "Question about code submission",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 444857,
      "title": "CosineDecay error in Tensorflow",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 444764,
      "title": "Simple Doubt Regarding Scoring",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 441951,
      "title": "Why does my Notebook throw errors?",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 444461,
      "title": "Imbalanced dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 444427,
      "title": "Submission Exception!!!!! ",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 444084,
      "title": "60 more Series in train_dicom_tags than in train_series_meta",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 444313,
      "title": "Totalsegmentator output empty",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 444299,
      "title": "3D Decoder Architectures",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442410,
      "title": "Possible memory leak in pydicom",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 443691,
      "title": "2.5D with RNN",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 441402,
      "title": "Active Extravasation Bounding Boxes [Updated 9/19]",
      "comment_count": 24,
      "views": 0,
      "votes": 47
    },
    {
      "id": 443616,
      "title": "Submission Time Limit for Leaderboard vs Final Results",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 435053,
      "title": "[lb0.55 my experiment results] prompt based prediction",
      "comment_count": 96,
      "views": 0,
      "votes": 85
    },
    {
      "id": 437504,
      "title": "Notebook Submission Failed - Notebook Threw Exception",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442383,
      "title": "[SOLVED]problem with submission",
      "comment_count": 12,
      "views": 0,
      "votes": 0
    },
    {
      "id": 443256,
      "title": "Notebook Out of Memory error on Submission ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 443118,
      "title": "Struggling with LSTM",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 432029,
      "title": "CV vs LB Scores",
      "comment_count": 55,
      "views": 0,
      "votes": 31
    },
    {
      "id": 435815,
      "title": "Single corrupt image in the hidden test set",
      "comment_count": 8,
      "views": 0,
      "votes": 43
    },
    {
      "id": 440269,
      "title": "Don't trust test_dicom_tags.parquet",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 437177,
      "title": "Submission scoring error",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 441077,
      "title": "R submission error: “Submission scoring error\"",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442733,
      "title": "Problem in submission ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 442872,
      "title": "ValueError : patient_df = test_df.query(\"patient_id == @patient_id\")",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 442011,
      "title": "Generate you own trauma injury!!!!",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 441764,
      "title": "simplest way to align multi-phrase CT scan",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 427427,
      "title": "Data in PNG Format",
      "comment_count": 29,
      "views": 0,
      "votes": 174
    },
    {
      "id": 440463,
      "title": "What to do for reducing the gb of test dataset?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 441877,
      "title": "Here's a Public Dataset with DICOM Metadata",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 432745,
      "title": "[Solved] Submission scoring error",
      "comment_count": 19,
      "views": 0,
      "votes": 1
    },
    {
      "id": 441913,
      "title": "Guidance on how to approachh",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 440643,
      "title": "Seeking Guidance on Integrating TotalSegmentator Images in CNN Training and Inference",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 441832,
      "title": "Submission Details",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 437347,
      "title": "Submission failed \"Notebook Out of Memory\".",
      "comment_count": 15,
      "views": 0,
      "votes": 1
    },
    {
      "id": 436096,
      "title": "total-segmentator-on-rsna-2023-abdominal-trauma",
      "comment_count": 21,
      "views": 0,
      "votes": 16
    },
    {
      "id": 441272,
      "title": "TotalSegmentator",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 440954,
      "title": "Dataset Access",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 440840,
      "title": "Can improvements with Bowel help Models?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 440915,
      "title": "Do Submissions using GPU count towards GPU quota?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 440315,
      "title": "some questions after long resarch ",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 440537,
      "title": "Has anyone added meta data to the model?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 438109,
      "title": "3D no segmentation",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 440814,
      "title": "How to do submission via notebook if I train my model locally?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 440548,
      "title": "DICOM and NIfTI to TFRecord",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 438451,
      "title": "Is submission =...detection/sample_submission.csv' necessary for scoring?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 427217,
      "title": "Standardizing Unusual Dicoms",
      "comment_count": 12,
      "views": 0,
      "votes": 45
    },
    {
      "id": 438508,
      "title": "Handling the data",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 437036,
      "title": "SAM-Med2D {Segment Anything Model}",
      "comment_count": 7,
      "views": 0,
      "votes": 21
    },
    {
      "id": 436527,
      "title": "beware of dicom file problems ?",
      "comment_count": 31,
      "views": 0,
      "votes": 15
    },
    {
      "id": 435305,
      "title": "Test set incomplete ? ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 427219,
      "title": "New to Kaggle or Machine Learning? Check this out ~",
      "comment_count": 11,
      "views": 0,
      "votes": 16
    },
    {
      "id": 437510,
      "title": "Silver Medal  with a Simple Constant : 0.99",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 434855,
      "title": "Segmentation overlay",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 438348,
      "title": "Something wrong with new notebooks",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 437344,
      "title": "probably wrong image level label?",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 434783,
      "title": "CV is inversely proportional to LB",
      "comment_count": 12,
      "views": 0,
      "votes": 1
    },
    {
      "id": 438020,
      "title": "RSNA Trauma Metric - is overall any_injury best",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 437814,
      "title": "Post-processing problem, why does the bug fix improve CV from 1.00 to 0.70 but degrade lb from 0.69 to 0.97?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 437791,
      "title": "SliceThickness and Z Position Diff?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 437024,
      "title": "[External_datasets] Additional datasets for further experimentation from external sources.",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 438194,
      "title": "[Beginner] How to approach this problem?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 434041,
      "title": "TotalSegmentator",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 437303,
      "title": "OVERFITTING IN 'extravasation_injury' !",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 437326,
      "title": "Segmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 437290,
      "title": "To better understand the location of internal organs",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 436501,
      "title": "Weighted Means Folly ?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 437453,
      "title": "Submission Error (Please Help)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 436943,
      "title": "My 3D model learns nothing",
      "comment_count": 7,
      "views": 0,
      "votes": 0
    },
    {
      "id": 427220,
      "title": "Looking for a Team Megathread",
      "comment_count": 233,
      "views": 0,
      "votes": 17
    },
    {
      "id": 436525,
      "title": "predict what?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 428538,
      "title": "Clarification on Provided Labels/Annotations ",
      "comment_count": 46,
      "views": 0,
      "votes": 78
    },
    {
      "id": 436799,
      "title": "Scans with weird intensity shifts",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 428871,
      "title": "😥Slice spacing is NOT consistent across different series",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 436805,
      "title": "EfficientNet ",
      "comment_count": 4,
      "views": 0,
      "votes": 0
    },
    {
      "id": 437172,
      "title": "Submission",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 437000,
      "title": "I need help solve this throw exception",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 436877,
      "title": "Training the model with on-demand GPUs",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 434579,
      "title": "Advancing Medical Diagnosis with AI",
      "comment_count": 3,
      "views": 0,
      "votes": 10
    },
    {
      "id": 435520,
      "title": "Demo site for Albumentations (Transformations)",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 428139,
      "title": "Lack of resources",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 436213,
      "title": "Need Help with KerasCV Starter Notebook : 'keras_cv.layers' has no attribute 'Augmenter'",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 436145,
      "title": "Question about Custom Kaggle dataset upload",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 436129,
      "title": "Learning preprocessing from nnU-Net?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 432168,
      "title": "Orientation of dcm and nii files",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 435101,
      "title": "Where is the extravasation?",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 435326,
      "title": "Submission CSV not found",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 429881,
      "title": "About Segmentation Data",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 436097,
      "title": "dicomsdl installation as a dataset failed",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 436236,
      "title": "Throw Exception Submission Error",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 435392,
      "title": "Normalizing pixel spacing",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 429944,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 432593,
      "title": "Possibly corrupt .dcm in test set - Can the host/Kaggle staff check this?",
      "comment_count": 25,
      "views": 0,
      "votes": 14
    },
    {
      "id": 435417,
      "title": "What are high grade solid organ injuries?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 435354,
      "title": "ValueError: Unsupported number of image dimensions: 2",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 434890,
      "title": "Submission score",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 435331,
      "title": "Relationship between Images",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 428894,
      "title": "🤩Very useful semantic segmentation model！",
      "comment_count": 12,
      "views": 0,
      "votes": 11
    },
    {
      "id": 429050,
      "title": "Decent Test Set Please",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 434873,
      "title": "A question about the segmentation files",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 434258,
      "title": "腹部外傷と何か　初投稿（日本語）　",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 428188,
      "title": "Are the labels too weak?",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 434891,
      "title": "Can I save intermediate data in the code for a submission?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 429266,
      "title": "Hi all! May have found something which speeds up reading dicom files (1.6x faster)",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 434152,
      "title": "Submission error",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 434295,
      "title": "Submission Error",
      "comment_count": 11,
      "views": 0,
      "votes": 1
    },
    {
      "id": 434401,
      "title": "Submission scoring error",
      "comment_count": 8,
      "views": 0,
      "votes": 0
    },
    {
      "id": 434589,
      "title": "Rescale Type attribute / DICOM",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 432217,
      "title": "2D and 2.5D experiments",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 434505,
      "title": "What is 'any_injury_weight' in metric?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 434685,
      "title": "Can we use pytorch in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 432915,
      "title": "How are the losses weighted?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 433856,
      "title": "Segmentation to DICOM alignment",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 434020,
      "title": "Submission issues",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 433885,
      "title": "Head or base?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 430611,
      "title": "2.5D Method Seems to Overfit",
      "comment_count": 18,
      "views": 0,
      "votes": 17
    },
    {
      "id": 431665,
      "title": "A little bit of data leakage :)",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 433273,
      "title": "Notebook Submission",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 432605,
      "title": "How do you deal with such big files?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 432988,
      "title": "Is it legal in this competition to add some labels by hand to the training data? ",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 432253,
      "title": "Concerns about the time consumption of data preprocessing",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 433221,
      "title": "Requirements to run code",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 428707,
      "title": "PyDicom issues with this dataset",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 433000,
      "title": "External DICOM viewers",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 432336,
      "title": "AMP Parkinson's Flashbacks",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 430967,
      "title": "Using TPU with Pytorch",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 432113,
      "title": "Why does the test set contain only single-slice (2D) DICOM images for each patient?",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 427226,
      "title": "CT Scans and Contrast Phases",
      "comment_count": 7,
      "views": 0,
      "votes": 45
    },
    {
      "id": 432431,
      "title": "Explanation multiphasic CT Scan - do we have different phases for the same patients?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 431475,
      "title": "Understanding how Patient IDs, Series IDs, and Instance Numbers are related together in CT Scan Datasets",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 431480,
      "title": "Question about the class imbalance",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 432365,
      "title": "csv not found ",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 431706,
      "title": "2.5D Pipeline",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 431836,
      "title": "How do load dcm files from test folder",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 430444,
      "title": "Window Width and Center",
      "comment_count": 15,
      "views": 0,
      "votes": 6
    },
    {
      "id": 431359,
      "title": "Series Meta and aortic_hu",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 432081,
      "title": "Does  anyone have a converted dataset to png ",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 431890,
      "title": "2D Pipeline for Bowel and Extravasation",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 431957,
      "title": "complete list of competition files",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 430662,
      "title": "Slice thickness vs. Image Position (Patient)",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 428539,
      "title": "Looking for a Team Megathread",
      "comment_count": 3,
      "views": 0,
      "votes": -5
    },
    {
      "id": 430590,
      "title": "Questions about the given data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 431439,
      "title": "Any Ideas on Segmentation?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 431429,
      "title": "Hounsfield Unit",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 431279,
      "title": "I'm a beginner, I have few questions about the competition.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 431241,
      "title": "Unveiling Organ Interactions: Exploring the Correlation Matrix of Traumatic Injuries",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 427233,
      "title": "Previous RSNA Kaggle Challenges and Winning Solutions Compilation",
      "comment_count": 2,
      "views": 0,
      "votes": 39
    },
    {
      "id": 431119,
      "title": "Problem in loading the dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 430385,
      "title": "Segmentation Analysis with correlations (Power Bi EDA report)",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 430461,
      "title": "What loss should we use?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 430686,
      "title": " Handling Large Datasets for Machine Learning on Kaggle",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 427892,
      "title": "Very small test data ?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 428964,
      "title": "EDA with Power Bi [UPDATED - 10.08.2023]",
      "comment_count": 3,
      "views": 0,
      "votes": 50
    },
    {
      "id": 430023,
      "title": "Using Pretrained Models",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 428819,
      "title": "How to work with large dataset",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 430124,
      "title": "how to handle huge data set?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 429982,
      "title": "2Host: Missing library",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 430247,
      "title": "How to get started?",
      "comment_count": 1,
      "views": 0,
      "votes": 0
    },
    {
      "id": 429577,
      "title": "Collect only images with lesions",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 429343,
      "title": "Some train_dicom_tags rows are pointing to missing dicom.",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 428583,
      "title": "Clarification on segmentation",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 429323,
      "title": "How to find the best HU value for all abnormal findings in the competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 428962,
      "title": "Extra Files in train_images ? ",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 427795,
      "title": "Any Python Knight that could load the nifti files? Since we've No nii file extensions.",
      "comment_count": 8,
      "views": 0,
      "votes": 25
    },
    {
      "id": 428789,
      "title": "Is this a classification, detection, or segmentation problem?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 427568,
      "title": "Getting Started with Abdominal Trauma | Research Articles",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 427936,
      "title": " Injured organ in image_level_labels",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 428341,
      "title": "Why the competition dataset needs to download again？",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 427424,
      "title": "Onboarding references",
      "comment_count": 1,
      "views": 0,
      "votes": 20
    },
    {
      "id": 427460,
      "title": "Some questions about the dataset，please help！",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    }
  ],
  "errors": []
}