Dilated balanced cross entropy loss, which weights pixels by the inverse of dilated class areas, performs as well as Dice plus cross entropy on three medical segmentation tasks.
In: Proceedings of the IEEE international conference on computer vision (2017)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Dilated Balanced Cross Entropy Loss for Medical Image Segmentation
Dilated balanced cross entropy loss, which weights pixels by the inverse of dilated class areas, performs as well as Dice plus cross entropy on three medical segmentation tasks.