贪婪的人 发表于 2025-4-1 05:01:56

http://reply.papertrans.cn/63/6293/629211/629211_61.png

平庸的人或物 发表于 2025-4-1 06:01:05

http://reply.papertrans.cn/63/6293/629211/629211_62.png

TRUST 发表于 2025-4-1 13:23:37

http://reply.papertrans.cn/63/6293/629211/629211_63.png

一窝小鸟 发表于 2025-4-1 14:46:41

http://reply.papertrans.cn/63/6293/629211/629211_64.png

Initiative 发表于 2025-4-1 21:32:07

http://reply.papertrans.cn/63/6293/629211/629211_65.png

结合 发表于 2025-4-2 02:36:53

Self-supervised Learning of Morphological Representation for 3D EM Segments with Cluster-Instance Co images brings significant challenges for cell segmentation and analysis. While obtaining sufficient data annotation for supervised deep learning methods is laborious and tedious, we propose the first self-supervised approach for learning 3D morphology representations from ultra-scale EM segments wi

Override 发表于 2025-4-2 02:48:21

Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentationes is expertise-demanded and time-consuming; hence semi-supervised learning (SSL), particularly barely-supervised learning, is highly desirable for training with insufficient labeled data. We observed that the class imbalance problem is severe in the knee MR images as the cartilages only occupy 6% o
页: 1 2 3 4 5 6 [7]
查看完整版本: Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee