Titlebook: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022; 25th International C Linwei Wang,Qi Dou,Shuo Li Conference procee

贪婪的人

平庸的人或物

TRUST

一窝小鸟

Initiative

结合

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

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