吹牛者 发表于 2025-3-23 10:03:35
,Automatic Segmentation in Abdominal CT Imaging for the KiTS21 Challenge,Net which consists of 3D Encoder-Decoder CNN architecture with additional Skip Connection is used. Lastly, there is a loss function to resolve the class imbalance problem frequently occurring in the task of medical imaging. Sørensen-Dice Score and Surface Dice Score on the test set are 80.13 and 68.61.Permanent 发表于 2025-3-23 14:26:04
http://reply.papertrans.cn/55/5427/542692/542692_12.png大包裹 发表于 2025-3-23 21:25:53
Conference proceedings 2022er 27, 2021, due to the COVID-19 pandemic...The 21 contributions presented were carefully reviewed and selected from 29 submissions. This challenge aims to develop the best system for automatic semantic segmentation of renal tumors and surrounding anatomy. .OFF 发表于 2025-3-23 23:10:46
http://reply.papertrans.cn/55/5427/542692/542692_14.pngAllodynia 发表于 2025-3-24 06:21:35
Modified nnU-Net for the MICCAI KiTS21 Challenge,e model by specific strategies. Detailed information is available in the part of Methods. The organizer uses an evaluation method called “Hierarchical Evaluation Classes” (HECs). The HEC scores of each model are showed in the following.Immunization 发表于 2025-3-24 09:35:56
http://reply.papertrans.cn/55/5427/542692/542692_16.png协定 发表于 2025-3-24 11:10:23
http://reply.papertrans.cn/55/5427/542692/542692_17.png抵押贷款 发表于 2025-3-24 15:51:27
3D U-Net Based Semantic Segmentation of Kidneys and Renal Masses on Contrast-Enhanced CT,he majority-prediction segmentation masks. Our model achieved test-set performance of 97.0%, 85.1%, and 81.9% volumetric Dice score, and 93.7%, 72.0%, and 70.0% surface Dice score, on combined foreground, renal masses, and renal tumors, respectively, which tied for sixth place among challenge participants.肮脏 发表于 2025-3-24 21:52:06
http://reply.papertrans.cn/55/5427/542692/542692_19.pngEXULT 发表于 2025-3-25 01:47:46
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