{ "id": 453794, "title": "Past similar competitions top(50) solutions write-up (link)", "url": "/competitions/blood-vessel-segmentation/discussion/453794", "author_name": "", "post_date": "2023-11-07T18:53:09.260886200Z", "votes": 32, "comment_count": 5, "views": 0, "content": "

1. HuBMAP - Hacking the Kidney (2021)

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1st place

\n

3rd place

\n

4th place

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12th place

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17th place

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23rd place

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28th place

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33rd place

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37th place

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42nd place

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44th place

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50th place

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2. HuBMAP - Hacking the Human Vasculature (2023)

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1st place

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2nd place

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3rd place

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4th place

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5th place

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7th place

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8th place

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9th place

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10th place

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12th place

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13th place

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14th place

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19th place

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26th place

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30th place

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47th place

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3. UW-Madison GI Tract Image Segmentation (2022)

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(added after Gunes Evitan's recommedation)
\n1st place
\n2nd place

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3rd place

\n

5th place

\n

8th place

\n

10th place

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11th place

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14th place

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15th place

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17th place

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22nd place

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23rd place

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27th place

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28th place

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31st place

\n

42nd place

\n

43rd place

", "messages": [ { "id": "2516533", "postDate": "11/07/2023 18:53:09", "content": "

1. HuBMAP - Hacking the Kidney (2021)

\n

1st place

\n

3rd place

\n

4th place

\n

12th place

\n

17th place

\n

23rd place

\n

28th place

\n

33rd place

\n

37th place

\n

42nd place

\n

44th place

\n

50th place

\n

2. HuBMAP - Hacking the Human Vasculature (2023)

\n

1st place

\n

2nd place

\n

3rd place

\n

4th place

\n

5th place

\n

7th place

\n

8th place

\n

9th place

\n

10th place

\n

12th place

\n

13th place

\n

14th place

\n

19th place

\n

26th place

\n

30th place

\n

47th place

\n

3. UW-Madison GI Tract Image Segmentation (2022)

\n

(added after Gunes Evitan's recommedation)
\n1st place
\n2nd place

\n

3rd place

\n

5th place

\n

8th place

\n

10th place

\n

11th place

\n

14th place

\n

15th place

\n

17th place

\n

22nd place

\n

23rd place

\n

27th place

\n

28th place

\n

31st place

\n

42nd place

\n

43rd place

", "rawMarkdown": "# 1. [HuBMAP - Hacking the Kidney (2021)](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview)\n\n[1st place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198)\n\n[3rd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238013)\n\n[4th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238024)\n\n[12th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238443)\n\n[17th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238027)\n\n[23rd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238308)\n\n[28th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238090)\n\n[33rd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238199)\n\n[37th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238404)\n\n[42nd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238120)\n\n[44th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238049)\n\n[50th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238046)\n\n\n# 2. [HuBMAP - Hacking the Human Vasculature (2023)](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/overview)\n\n[1st place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429060)\n\n[2nd place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429240)\n\n[3rd place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/430242)\n\n[4th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428994)\n\n[5th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429873)\n\n[7th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428295)\n\n[8th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429352)\n\n[9th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428447)\n\n[10th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428301)\n\n[12th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428319)\n\n[13th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/431402)\n\n[14th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/430062)\n\n[19th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428327)\n\n[26th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/430386)\n\n[30th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428372)\n\n[47th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428644)\n\n\n# 3. [UW-Madison GI Tract Image Segmentation (2022)](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/overview)\n(added after Gunes Evitan's recommedation)\n[1st place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337217) \n[2nd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337400)\n\n[3rd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337468)\n\n[5th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337268)\n\n[8th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337359)\n\n[10th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337195)\n\n[11th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337193)\n\n[14th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337191)\n\n[15th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337189)\n\n[17th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337343)\n\n[22nd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337199)\n\n[23rd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337327)\n\n[27th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337231)\n\n[28th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337210)\n\n[31st place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337235)\n\n[42nd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337192)\n\n[43rd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337196)", "votes": null }, { "id": "2516883", "postDate": "11/08/2023 03:24:02", "content": "

Let's first try some of them.

", "rawMarkdown": "Let's first try some of them.", "votes": null }, { "id": "2517114", "postDate": "11/08/2023 08:27:29", "content": "

True! Just like you would not order everything on the menu in a restaurant.

", "rawMarkdown": "True! Just like you would not order everything on the menu in a restaurant.", "votes": null }, { "id": "2517255", "postDate": "11/08/2023 10:29:21", "content": "

Thanks for sharing. I think gi tract segmentation is the most similar competition to this one. https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation

\n

You can also add links from there.

", "rawMarkdown": "Thanks for sharing. I think gi tract segmentation is the most similar competition to this one. https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation \n\nYou can also add links from there.", "votes": null }, { "id": "2517259", "postDate": "11/08/2023 10:37:18", "content": "

Thank you for your feedback Gunes! I will do so right away.

", "rawMarkdown": "Thank you for your feedback Gunes! I will do so right away.", "votes": null }, { "id": "2580969", "postDate": "12/31/2023 12:42:39", "content": "

Thanks for collecting these past solutions.

", "rawMarkdown": "Thanks for collecting these past solutions.", "votes": null } ], "comments": [ { "id": 2516883, "author_name": "tom99763", "author_url": "", "post_date": "11/08/2023 03:24:02", "content": "

Let's first try some of them.

", "votes": null, "replies": [ { "id": 2517114, "author_name": "desalegngeb", "author_url": "", "post_date": "11/08/2023 08:27:29", "content": "

True! Just like you would not order everything on the menu in a restaurant.

", "votes": null, "replies": [] } ] }, { "id": 2517255, "author_name": "gunesevitan", "author_url": "", "post_date": "11/08/2023 10:29:21", "content": "

Thanks for sharing. I think gi tract segmentation is the most similar competition to this one. https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation

\n

You can also add links from there.

", "votes": null, "replies": [ { "id": 2517259, "author_name": "desalegngeb", "author_url": "", "post_date": "11/08/2023 10:37:18", "content": "

Thank you for your feedback Gunes! I will do so right away.

", "votes": null, "replies": [] } ] }, { "id": 2580969, "author_name": "yassinealouini", "author_url": "", "post_date": "12/31/2023 12:42:39", "content": "

Thanks for collecting these past solutions.

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2516533": "# 1. [HuBMAP - Hacking the Kidney (2021)](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview)\n\n[1st place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238198)\n\n[3rd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238013)\n\n[4th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238024)\n\n[12th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238443)\n\n[17th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238027)\n\n[23rd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238308)\n\n[28th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238090)\n\n[33rd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238199)\n\n[37th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238404)\n\n[42nd place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238120)\n\n[44th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238049)\n\n[50th place](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/238046)\n\n\n# 2. [HuBMAP - Hacking the Human Vasculature (2023)](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/overview)\n\n[1st place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429060)\n\n[2nd place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429240)\n\n[3rd place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/430242)\n\n[4th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428994)\n\n[5th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429873)\n\n[7th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428295)\n\n[8th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/429352)\n\n[9th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428447)\n\n[10th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428301)\n\n[12th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428319)\n\n[13th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/431402)\n\n[14th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/430062)\n\n[19th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428327)\n\n[26th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/430386)\n\n[30th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428372)\n\n[47th place](https://www.kaggle.com/competitions/hubmap-hacking-the-human-vasculature/discussion/428644)\n\n\n# 3. [UW-Madison GI Tract Image Segmentation (2022)](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/overview)\n(added after Gunes Evitan's recommedation)\n[1st place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337217) \n[2nd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337400)\n\n[3rd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337468)\n\n[5th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337268)\n\n[8th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337359)\n\n[10th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337195)\n\n[11th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337193)\n\n[14th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337191)\n\n[15th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337189)\n\n[17th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337343)\n\n[22nd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337199)\n\n[23rd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337327)\n\n[27th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337231)\n\n[28th place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337210)\n\n[31st place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337235)\n\n[42nd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337192)\n\n[43rd place](https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation/discussion/337196)", "2516883": "Let's first try some of them.", "2517114": "True! Just like you would not order everything on the menu in a restaurant.", "2517255": "Thanks for sharing. I think gi tract segmentation is the most similar competition to this one. https://www.kaggle.com/competitions/uw-madison-gi-tract-image-segmentation \n\nYou can also add links from there.", "2517259": "Thank you for your feedback Gunes! I will do so right away.", "2580969": "Thanks for collecting these past solutions." }, "source": "meta" }