Identify glomeruli in human kidney tissue images
\nAs written on the competition description, this is the second HuBMAP competition.
\nHere is a summary of the approaches used to solve the previous one.
1 st Place
\n3 rd Place
\n4 th Place
\n10 th Place
\n12 th Place
\n17 th Place
\n23 rd Place
\n28 th Place
\n35 th Place
\n39 th Place
\n44 th Place
\n46 th Place
\n54 th Place
\n130 th Place
\n340 th Place
\n470 th Place
\n", "messages": [ { "id": 1829647, "postDate": "2022-06-22T19:23:08.750Z", "content": "(This thread will be edited to include brief summary of each solution)
\n
Identify glomeruli in human kidney tissue images
\nAs written on the competition description, this is the second HuBMAP competition.
\nHere is a summary of the approaches used to solve the previous one.
1 st Place
\n3 rd Place
\n4 th Place
\n10 th Place
\n12 th Place
\n17 th Place
\n23 rd Place
\n28 th Place
\n35 th Place
\n39 th Place
\n44 th Place
\n46 th Place
\n54 th Place
\n130 th Place
\n340 th Place
\n470 th Place
\n", "rawMarkdown": "###[HuBMAP - Hacking the Kidney](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview)\nIdentify glomeruli in human kidney tissue images\n____\n\nAs written on the competition description, this is the second HuBMAP competition. \nHere is a summary of the approaches used to solve the previous one. \n\n[1 st Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238198)\n[3 rd Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238013)\n[4 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238024)\n[10 th Place](https://www.kaggle.com/matjes/hubmap-deepflash2-judge-price)\n[12 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238443)\n[17 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238027)\n[23 rd Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238308)\n[28 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238090)\n[35 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238199)\n[39 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238404)\n[44 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238120)\n[46 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238049)\n[54 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238046)\n[130 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238006)\n[340 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238012)\n[470 th Place](https://github.com/nauyan/HuBMAP-HackingtheKidney)\n\n\n> (This thread will be edited to include brief summary of each solution)\n\n", "votes": 47 }, { "id": 1829701, "postDate": "2022-06-22T20:51:50.923Z", "content": "(This thread will be edited to include brief summary of each solution)
\n
That was fast, thanks for the list. 🔥
", "rawMarkdown": "That was fast, thanks for the list. 🔥", "votes": 1, "replies": [ { "id": 1829733, "postDate": "2022-06-22T21:54:43.313Z", "content": "you don't seem any slower either ;)
", "rawMarkdown": "you don't seem any slower either ;) ", "votes": 1 }, { "id": 1829737, "postDate": "2022-06-22T22:04:45.407Z", "content": "Haha, indeed. 😹
", "rawMarkdown": "Haha, indeed. 😹", "votes": 1 } ] }, { "id": 1853884, "postDate": "2022-07-13T08:54:48.587Z", "content": "Thanks for sharing~
\nDo we need to use the HuBMAP dataset for training?
Another summary.
\nI hope it is useful to all!
Thanks for your sharing!
", "rawMarkdown": "Thanks for your sharing!" }, { "id": 1869794, "postDate": "2022-07-25T03:57:28.827Z", "content": "This is very helpful, thanks
", "rawMarkdown": "This is very helpful, thanks" }, { "id": 1843821, "postDate": "2022-07-05T06:32:23.170Z", "content": "thanks for your work!
", "rawMarkdown": "thanks for your work!" }, { "id": 1830027, "postDate": "2022-06-23T05:39:02.370Z", "content": "Thanks, this is very useful!
", "rawMarkdown": "Thanks, this is very useful!" } ], "comments": [ { "id": 1829701, "author_name": "Yassine Alouini", "author_url": "", "post_date": "2022-06-22T20:51:50.923000", "content": "That was fast, thanks for the list. 🔥
", "votes": 1, "replies": [ { "id": 1829733, "author_name": "The Devastator", "author_url": "", "post_date": "2022-06-22T21:54:43.313000", "content": "you don't seem any slower either ;)
", "votes": 1, "replies": [] }, { "id": 1829737, "author_name": "Yassine Alouini", "author_url": "", "post_date": "2022-06-22T22:04:45.407000", "content": "Haha, indeed. 😹
", "votes": 1, "replies": [] } ] }, { "id": 1853884, "author_name": "Ethan", "author_url": "", "post_date": "2022-07-13T08:54:48.587000", "content": "Thanks for sharing~
\nDo we need to use the HuBMAP dataset for training?
Another summary.
\nI hope it is useful to all!
Thanks for your sharing!
", "votes": 0, "replies": [] }, { "id": 1869794, "author_name": "Adebayo A. Adeniyi", "author_url": "", "post_date": "2022-07-25T03:57:28.827000", "content": "This is very helpful, thanks
", "votes": 0, "replies": [] }, { "id": 1843821, "author_name": "Ksana", "author_url": "", "post_date": "2022-07-05T06:32:23.170000", "content": "thanks for your work!
", "votes": 0, "replies": [] }, { "id": 1830027, "author_name": "Old Monk", "author_url": "", "post_date": "2022-06-23T05:39:02.370000", "content": "Thanks, this is very useful!
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1829647": "###[HuBMAP - Hacking the Kidney](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/overview)\nIdentify glomeruli in human kidney tissue images\n____\n\nAs written on the competition description, this is the second HuBMAP competition. \nHere is a summary of the approaches used to solve the previous one. \n\n[1 st Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238198)\n[3 rd Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238013)\n[4 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238024)\n[10 th Place](https://www.kaggle.com/matjes/hubmap-deepflash2-judge-price)\n[12 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238443)\n[17 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238027)\n[23 rd Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238308)\n[28 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238090)\n[35 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238199)\n[39 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238404)\n[44 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238120)\n[46 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238049)\n[54 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238046)\n[130 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238006)\n[340 th Place](https://www.kaggle.com/c/hubmap-kidney-segmentation/discussion/238012)\n[470 th Place](https://github.com/nauyan/HuBMAP-HackingtheKidney)\n\n\n> (This thread will be edited to include brief summary of each solution)\n\n", "1829701": "That was fast, thanks for the list. 🔥", "1853884": "Thanks for sharing~\nDo we need to use the HuBMAP dataset for training?", "1844499": "Another [summary](https://www.kaggle.com/competitions/hubmap-kidney-segmentation/discussion/240665).\nI hope it is useful to all! ", "1878824": "", "1940067": "Thanks for your sharing!", "1869794": "This is very helpful, thanks", "1843821": "thanks for your work!", "1830027": "Thanks, this is very useful!" } }