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Average Calibration Error: A Differentiable Loss for Improved
  Reliability in Image Segmentation

Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation

11 March 2024
Theodore Barfoot
Luis C. García-Peraza-Herrera
Ben Glocker
Tom Vercauteren
    UQCV
ArXivPDFHTML

Papers citing "Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation"

3 / 3 papers shown
Title
Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration
Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration
Taejin Jeong
Joohyeok Kim
Jaehoon Joo
Yeonwoo Jung
Hyeonmin Kim
Seong Jae Hwang
53
0
0
24 Mar 2025
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based
  Constraints
Neighbor-Aware Calibration of Segmentation Networks with Penalty-Based Constraints
Balamurali Murugesan
Sukesh Adiga Vasudeva
Bingyuan Liu
H. Lombaert
Ismail Ben Ayed
Jose Dolz
UQCV
31
5
0
25 Jan 2024
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
1