Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
Class imbalance poses a significant challenge in semi-supervised medical image
segmentation (SSLMIS). Existing techniques face problems such as poor performance on …
segmentation (SSLMIS). Existing techniques face problems such as poor performance on …
On the dice loss variants and sub-patching
The soft-Dice loss is a very popular loss for image semantic segmentation in the medical
field, and is often combined with the cross-entropy loss. It has recently been shown that the …
field, and is often combined with the cross-entropy loss. It has recently been shown that the …
[PDF][PDF] Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
WQJ Wu, SC Chan - pancreas - fq.pkwyx.com
Class imbalance poses a significant challenge in semi-supervised medical image
segmentation (SSLMIS). Existing techniques face problems such as poor performance on …
segmentation (SSLMIS). Existing techniques face problems such as poor performance on …