Optimization for Medical Image Segmentation: Theory and Practice when
evaluating with Dice Score or Jaccard Index

Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index

26 October 2020

Dirk Vandermeulen

Matthew B. Blaschko

Papers citing "Optimization for Medical Image Segmentation: Theory and Practice when evaluating with Dice Score or Jaccard Index"

15 / 15 papers shown

Title
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data Cecilia Diana-Albelda Roberto Alcover-Couso Álvaro García-Martín Jesús Bescós Marcos Escudero-Viñolo 42 1 0 06 Mar 2025
Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning Han Yuan Chuan Hong AI4CE 17 0 0 04 Feb 2024
On the dice loss gradient and the ways to mimic it H. Kervadec Marleen de Bruijne 16 0 0 09 Apr 2023
Noisy Image Segmentation With Soft-Dice M. Nordström Henrik Hult A. Maki F. Löfman 31 2 0 03 Apr 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels Zifu Wang Xuefei Ning Matthew B. Blaschko VLM 30 12 0 11 Feb 2023
DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation Fang Chen H. Balzter Feixiang Zhou Pengxin Ren Huiyu Zhou 25 13 0 19 Dec 2022
Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty J. Bertels D. Robben Dirk Vandermeulen P. Suetens 24 19 0 08 Nov 2022
Complementary consistency semi-supervised learning for 3D left atrial image segmentation Hejun Huang Zuguo Chen Chaoyang Chen Ming Lu Ying Zou 34 279 0 04 Oct 2022
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
The Dice loss in the context of missing or empty labels: Introducing $Φ$ and $ε$ Sofie Tilborghs J. Bertels D. Robben Dirk Vandermeulen F. Maes 24 5 0 19 Jul 2022
On the relationship between calibrated predictors and unbiased volume estimation Teodora Popordanoska J. Bertels Dirk Vandermeulen F. Maes Matthew B. Blaschko 39 11 0 23 Dec 2021
Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation Michael Yeung L. Rundo Yang Nan Evis Sala Carola-Bibiane Schönlieb Guang Yang UQCV 25 30 0 31 Oct 2021
PL-Net: Progressive Learning Network for Medical Image Segmentation Junlong Cheng Chengrui Gao Chaoqing Wang Zhang Ming Yong-Liang Yang Min Zhu SSeg 21 1 0 27 Oct 2021
Distribution-aware Margin Calibration for Medical Image Segmentation Zhibin Li Litao Yu Jian Andrew Zhang 8 1 0 03 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng A. Nandi SSeg OOD 30 544 0 28 Sep 2020