{ "id": 427424, "title": "Onboarding references", "url": "/competitions/rsna-2023-abdominal-trauma-detection/discussion/427424", "author_name": "Ravi Ramakrishnan", "post_date": "2023-07-27T19:31:16.069000", "votes": 20, "comment_count": 1, "views": 0, "content": "

Hello all,

\n

Wishing you the best for the challenge! Please find some kernels to help one onboard effectively from similar exercises in the past-

\n

Breast cancer detection

\n
    \n
  1. https://www.kaggle.com/code/radek1/eda-training-a-fast-ai-model-submission -- most popular and voted kernel
    2. \n
  2. https://www.kaggle.com/code/andradaolteanu/rsna-breast-cancer-eda-pytorch-baseline -- excellent starter kernel
    3. \n
  3. https://www.kaggle.com/code/allunia/rsna-breast-cancer-eda -- detailed EDA and starter material
    4. \n
  4. https://www.kaggle.com/code/theoviel/rsna-breast-baseline-inference -- good inference code
    5. \n
\n

Cervical Spinal Fracture detection

\n
    \n
  1. https://www.kaggle.com/code/haqishen/rsna-sub-final -- best score among shared kernels
    2. \n
  2. https://www.kaggle.com/code/andradaolteanu/rsna-fracture-detection-dicom-images-explore -- excellent EDA
    3. \n
  3. https://www.kaggle.com/code/samuelcortinhas/rsna-fracture-detection-in-depth-eda -- good starter for beginners
    4. \n
  4. https://www.kaggle.com/code/vslaykovsky/infer-pytorch-effnetv2-single-model-lb-0-49 -- excellent inference kernel
    5. \n
  5. https://www.kaggle.com/code/haqishen/rsna-2022-1st-place-solution-train-stage2-type1 -- highlights a component of the winning solution
    6. \n
\n

Pulmonary Embolism Detection

\n
    \n
  1. https://www.kaggle.com/code/allunia/pulmonary-dicom-preprocessing -- most voted kernel
    2. \n
  2. https://www.kaggle.com/code/boliu0/monai-3d-cnn-training -- good training kernel with its inference
    3. \n
  3. https://www.kaggle.com/code/nitindatta/pulmonary-embolism-dicom-preprocessing-eda -- good starter and EDA
    4. \n
\n

Hope these resources help one onboard and start well. Please peruse the adjutant reference post as well, it provides links to several similar competitions too - https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/427233

\n

Best regards!

", "messages": [ { "id": 2362084, "postDate": "2023-07-27T19:31:16.070Z", "content": "

Hello all,

\n

Wishing you the best for the challenge! Please find some kernels to help one onboard effectively from similar exercises in the past-

\n

Breast cancer detection

\n
    \n
  1. https://www.kaggle.com/code/radek1/eda-training-a-fast-ai-model-submission -- most popular and voted kernel
    2. \n
  2. https://www.kaggle.com/code/andradaolteanu/rsna-breast-cancer-eda-pytorch-baseline -- excellent starter kernel
    3. \n
  3. https://www.kaggle.com/code/allunia/rsna-breast-cancer-eda -- detailed EDA and starter material
    4. \n
  4. https://www.kaggle.com/code/theoviel/rsna-breast-baseline-inference -- good inference code
    5. \n
\n

Cervical Spinal Fracture detection

\n
    \n
  1. https://www.kaggle.com/code/haqishen/rsna-sub-final -- best score among shared kernels
    2. \n
  2. https://www.kaggle.com/code/andradaolteanu/rsna-fracture-detection-dicom-images-explore -- excellent EDA
    3. \n
  3. https://www.kaggle.com/code/samuelcortinhas/rsna-fracture-detection-in-depth-eda -- good starter for beginners
    4. \n
  4. https://www.kaggle.com/code/vslaykovsky/infer-pytorch-effnetv2-single-model-lb-0-49 -- excellent inference kernel
    5. \n
  5. https://www.kaggle.com/code/haqishen/rsna-2022-1st-place-solution-train-stage2-type1 -- highlights a component of the winning solution
    6. \n
\n

Pulmonary Embolism Detection

\n
    \n
  1. https://www.kaggle.com/code/allunia/pulmonary-dicom-preprocessing -- most voted kernel
    2. \n
  2. https://www.kaggle.com/code/boliu0/monai-3d-cnn-training -- good training kernel with its inference
    3. \n
  3. https://www.kaggle.com/code/nitindatta/pulmonary-embolism-dicom-preprocessing-eda -- good starter and EDA
    4. \n
\n

Hope these resources help one onboard and start well. Please peruse the adjutant reference post as well, it provides links to several similar competitions too - https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/427233

\n

Best regards!

", "rawMarkdown": "Hello all,\n\nWishing you the best for the challenge! Please find some kernels to help one onboard effectively from similar exercises in the past-\n\n**Breast cancer detection**\n1. https://www.kaggle.com/code/radek1/eda-training-a-fast-ai-model-submission -- most popular and voted kernel\n2. https://www.kaggle.com/code/andradaolteanu/rsna-breast-cancer-eda-pytorch-baseline -- excellent starter kernel\n3. https://www.kaggle.com/code/allunia/rsna-breast-cancer-eda -- detailed EDA and starter material\n4. https://www.kaggle.com/code/theoviel/rsna-breast-baseline-inference -- good inference code\n\n**Cervical Spinal Fracture detection**\n1. https://www.kaggle.com/code/haqishen/rsna-sub-final -- best score among shared kernels\n2. https://www.kaggle.com/code/andradaolteanu/rsna-fracture-detection-dicom-images-explore -- excellent EDA\n3. https://www.kaggle.com/code/samuelcortinhas/rsna-fracture-detection-in-depth-eda -- good starter for beginners \n4. https://www.kaggle.com/code/vslaykovsky/infer-pytorch-effnetv2-single-model-lb-0-49 -- excellent inference kernel\n5. https://www.kaggle.com/code/haqishen/rsna-2022-1st-place-solution-train-stage2-type1 -- highlights a component of the winning solution\n\n**Pulmonary Embolism Detection**\n1. https://www.kaggle.com/code/allunia/pulmonary-dicom-preprocessing -- most voted kernel\n2. https://www.kaggle.com/code/boliu0/monai-3d-cnn-training -- good training kernel with its [inference](https://www.kaggle.com/code/boliu0/monai-3d-cnn-inference)\n3. https://www.kaggle.com/code/nitindatta/pulmonary-embolism-dicom-preprocessing-eda -- good starter and EDA\n\nHope these resources help one onboard and start well. Please peruse the adjutant reference post as well, it provides links to several similar competitions too - https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/427233\n\nBest regards!", "votes": 20 }, { "id": 2363440, "postDate": "2023-07-28T17:10:44.897Z", "content": "

Thank you Ravi, these are valuable resources to look at.

", "rawMarkdown": "Thank you Ravi, these are valuable resources to look at.", "votes": 1 } ], "comments": [ { "id": 2363440, "author_name": "Mohammed Suleiman Ahmed", "author_url": "", "post_date": "2023-07-28T17:10:44.897000", "content": "

Thank you Ravi, these are valuable resources to look at.

", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "2362084": "Hello all,\n\nWishing you the best for the challenge! Please find some kernels to help one onboard effectively from similar exercises in the past-\n\n**Breast cancer detection**\n1. https://www.kaggle.com/code/radek1/eda-training-a-fast-ai-model-submission -- most popular and voted kernel\n2. https://www.kaggle.com/code/andradaolteanu/rsna-breast-cancer-eda-pytorch-baseline -- excellent starter kernel\n3. https://www.kaggle.com/code/allunia/rsna-breast-cancer-eda -- detailed EDA and starter material\n4. https://www.kaggle.com/code/theoviel/rsna-breast-baseline-inference -- good inference code\n\n**Cervical Spinal Fracture detection**\n1. https://www.kaggle.com/code/haqishen/rsna-sub-final -- best score among shared kernels\n2. https://www.kaggle.com/code/andradaolteanu/rsna-fracture-detection-dicom-images-explore -- excellent EDA\n3. https://www.kaggle.com/code/samuelcortinhas/rsna-fracture-detection-in-depth-eda -- good starter for beginners \n4. https://www.kaggle.com/code/vslaykovsky/infer-pytorch-effnetv2-single-model-lb-0-49 -- excellent inference kernel\n5. https://www.kaggle.com/code/haqishen/rsna-2022-1st-place-solution-train-stage2-type1 -- highlights a component of the winning solution\n\n**Pulmonary Embolism Detection**\n1. https://www.kaggle.com/code/allunia/pulmonary-dicom-preprocessing -- most voted kernel\n2. https://www.kaggle.com/code/boliu0/monai-3d-cnn-training -- good training kernel with its [inference](https://www.kaggle.com/code/boliu0/monai-3d-cnn-inference)\n3. https://www.kaggle.com/code/nitindatta/pulmonary-embolism-dicom-preprocessing-eda -- good starter and EDA\n\nHope these resources help one onboard and start well. Please peruse the adjutant reference post as well, it provides links to several similar competitions too - https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection/discussion/427233\n\nBest regards!", "2363440": "Thank you Ravi, these are valuable resources to look at." } }