Here is a list of all top solutions to learn from. Please comment if I missed any, and I will try to keep this list updated.
\n1st place solution by Guanshuo Xu
\n2nd place solution by Ian Pan
\n3rd place solution by DatNT and team \"VinBigData-Medical Imaging\"
\n4th place solution by Kazumax
\n5th place solution by Darragh
\n6th place solution by OsciiArt
\n7th place solution by Yuval Reina
\n8th place solution by Jan Bre and team \"[Aillis] Yuji + Jan + yama\"
\n9th place solution by Shimacos and team \"shimacha\"
\n10th place solution by OrKatz
\n12th place solution by Kerem Turgutlu and team \"GIVE US GOLD 🙃\"
\n18th place solution by Theo Viel
\n23rd place solution by Chris Deotte
\n28th place solution by Rob Mulla and team \"EmBROlism\"
\n30th place solution by Sin and team \"Fight For Master\"
Other useful resources:
\nSTARTER DATASET: Train JPEGs (256x256)
\nHow to beat baselines explained
\nWow - Baseline Scores 38th Place Silver Medal - Private LB 0.208
\nSegmentation model with external dataset (+0.11 on CV/LB)
\nYet another baseline: Implementation referencing last year RSNA challenge
Here is a list of all top solutions to learn from. Please comment if I missed any, and I will try to keep this list updated.
\n1st place solution by Guanshuo Xu
\n2nd place solution by Ian Pan
\n3rd place solution by DatNT and team \"VinBigData-Medical Imaging\"
\n4th place solution by Kazumax
\n5th place solution by Darragh
\n6th place solution by OsciiArt
\n7th place solution by Yuval Reina
\n8th place solution by Jan Bre and team \"[Aillis] Yuji + Jan + yama\"
\n9th place solution by Shimacos and team \"shimacha\"
\n10th place solution by OrKatz
\n12th place solution by Kerem Turgutlu and team \"GIVE US GOLD 🙃\"
\n18th place solution by Theo Viel
\n23rd place solution by Chris Deotte
\n28th place solution by Rob Mulla and team \"EmBROlism\"
\n30th place solution by Sin and team \"Fight For Master\"
Other useful resources:
\nSTARTER DATASET: Train JPEGs (256x256)
\nHow to beat baselines explained
\nWow - Baseline Scores 38th Place Silver Medal - Private LB 0.208
\nSegmentation model with external dataset (+0.11 on CV/LB)
\nYet another baseline: Implementation referencing last year RSNA challenge
Thank you for the share!
", "rawMarkdown": "Thank you for the share!", "votes": 1, "replies": [ { "id": 1086866, "postDate": "2020-11-22T06:03:36.693Z", "rawMarkdown": "", "isDeleted": true } ] }, { "id": 1074707, "postDate": "2020-11-11T00:50:57.683Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1064012, "postDate": "2020-10-29T15:48:51.370Z", "content": "Thanks for sharing.
", "rawMarkdown": "Thanks for sharing.", "votes": 1 } ], "comments": [ { "id": 1086809, "author_name": "Rubix982-1", "author_url": "", "post_date": "2020-11-22T04:19:11.173000", "content": "Thank you for the share!
", "votes": 1, "replies": [ { "id": 1086866, "author_name": "", "author_url": "", "post_date": "2020-11-22T06:03:36.693000", "content": "", "votes": 0, "replies": [] } ] }, { "id": 1074707, "author_name": "", "author_url": "", "post_date": "2020-11-11T00:50:57.683000", "content": "", "votes": 0, "replies": [] }, { "id": 1064012, "author_name": "Saurabh dubey", "author_url": "", "post_date": "2020-10-29T15:48:51.370000", "content": "Thanks for sharing.
", "votes": 1, "replies": [] } ], "raw_markdown_by_id": { "1063389": "Here is a list of all top solutions to learn from. Please comment if I missed any, and I will try to keep this list updated.\n\n[1st place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/194145) by [Guanshuo Xu](https://kaggle.com/wowfattie)\n[2nd place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193401) by [Ian Pan](https://www.kaggle.com/vaillant)\n[3rd place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193424) by [DatNT](https://www.kaggle.com/moewie94) and team \"VinBigData-Medical Imaging\"\n[4th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193970) by [Kazumax](https://www.kaggle.com/kazumax0720)\n[5th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193475) by [Darragh](https://www.kaggle.com/darraghdog)\n[6th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/195865) by [OsciiArt](https://www.kaggle.com/osciiart)\n[7th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193460) by [Yuval Reina](https://www.kaggle.com/yuval6967)\n[8th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193506) by [Jan Bre](https://www.kaggle.com/jpbremer) and team \"[Aillis] Yuji + Jan + yama\"\n[9th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193417) by [Shimacos](https://www.kaggle.com/shimacos) and team \"shimacha\"\n[10th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193505) by [OrKatz](https://www.kaggle.com/orkatz2)\n[12th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193415) by [Kerem Turgutlu](https://www.kaggle.com/keremt) and team \"GIVE US GOLD 🙃\"\n[18th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193404) by [Theo Viel](https://www.kaggle.com/theoviel)\n[23rd place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193402) by [Chris Deotte](https://www.kaggle.com/cdeotte)\n[28th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193408) by [Rob Mulla](https://www.kaggle.com/robikscube) and team \"EmBROlism\"\n[30th place solution](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193423) by [Sin](https://www.kaggle.com/underwearfitting) and team \"Fight For Master\"\n\nOther useful resources:\n[STARTER DATASET: Train JPEGs (256x256)](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/182930)\n[How to beat baselines explained](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193598)\n[Wow - Baseline Scores 38th Place Silver Medal - Private LB 0.208](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193624)\n[Segmentation model with external dataset (+0.11 on CV/LB)](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/193469)\n[Yet another baseline: Implementation referencing last year RSNA challenge](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection/discussion/191954)", "1086809": "Thank you for the share!", "1074707": "", "1064012": "Thanks for sharing." } }