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Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation
  Losses

Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses

18 April 2021
Bingyuan Liu
Jose Dolz
Adrian Galdran
Riadh Kobbi
Ismail Ben Ayed
ArXivPDFHTML

Papers citing "Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses"

3 / 3 papers shown
Title
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for
  Lesion Segmentation with Out-of-Distribution Robustness
On the Optimal Combination of Cross-Entropy and Soft Dice Losses for Lesion Segmentation with Out-of-Distribution Robustness
Adrian Galdran
G. Carneiro
M. A. G. Ballester
OOD
21
17
0
13 Sep 2022
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
283
10,613
0
19 Feb 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1