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Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels

28 March 2023
Zifu Wang
Teodora Popordanoska
J. Bertels
Robin Lemmens
Matthew B. Blaschko
ArXivPDFHTML

Papers citing "Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels"

7 / 7 papers shown
Title
Accurate Pocket Identification for Binding-Site-Agnostic Docking
Accurate Pocket Identification for Binding-Site-Agnostic Docking
Y. Balytskyi
Inna Hubenko
A. Balytska
Christopher V. Kelly
58
0
0
04 Feb 2025
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry
  Radiograph via Dual-Face Depth Estimation
3DDX: Bone Surface Reconstruction from a Single Standard-Geometry Radiograph via Dual-Face Depth Estimation
Yi Gu
Y. Otake
Keisuke Uemura
Masaki Takao
Mazen Soufi
S. Okada
Nobuhiko Sugano
Hugues Talbot
Yoshinobu Sato
26
2
0
25 Sep 2024
Image-level Regression for Uncertainty-aware Retinal Image Segmentation
Image-level Regression for Uncertainty-aware Retinal Image Segmentation
Trung Dang
Huy Hoang Nguyen
A. Tiulpin
UQCV
41
0
0
27 May 2024
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform
  Regression
SiNGR: Brain Tumor Segmentation via Signed Normalized Geodesic Transform Regression
Trung Dang
Huy Hoang Nguyen
A. Tiulpin
32
3
0
27 May 2024
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang
Xuefei Ning
Matthew B. Blaschko
VLM
30
12
0
11 Feb 2023
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
Bingyuan Liu
Jose Dolz
Adrian Galdran
Riadh Kobbi
Ismail Ben Ayed
27
15
0
18 Apr 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1