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Theoretical analysis and experimental validation of volume bias of soft
  Dice optimized segmentation maps in the context of inherent uncertainty

Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty

8 November 2022
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
ArXivPDFHTML

Papers citing "Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty"

11 / 11 papers shown
Title
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
20
21
0
09 Oct 2023
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Encoding Enhanced Complex CNN for Accurate and Highly Accelerated MRI
Zimeng Li
Sa Xiao
Cheng Wang
Haidong Li
Xiuchao Zhao
...
Junshuai Xie
Lei Shi
F. Guo
Chaohui Ye
Xin Zhou
17
5
0
21 Jun 2023
Marginal Thresholding in Noisy Image Segmentation
Marginal Thresholding in Noisy Image Segmentation
M. Nordström
Henrik Hult
A. Maki
NoLa
9
0
0
08 Apr 2023
Noisy Image Segmentation With Soft-Dice
Noisy Image Segmentation With Soft-Dice
M. Nordström
Henrik Hult
A. Maki
F. Löfman
21
2
0
03 Apr 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Zifu Wang
Teodora Popordanoska
J. Bertels
Robin Lemmens
Matthew B. Blaschko
17
10
0
28 Mar 2023
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
17
11
0
11 Feb 2023
The Dice loss in the context of missing or empty labels: Introducing
  $Φ$ and $ε$
The Dice loss in the context of missing or empty labels: Introducing ΦΦΦ and εεε
Sofie Tilborghs
J. Bertels
D. Robben
Dirk Vandermeulen
F. Maes
11
5
0
19 Jul 2022
On Image Segmentation With Noisy Labels: Characterization and Volume
  Properties of the Optimal Solutions to Accuracy and Dice
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
M. Nordström
Henrik Hult
J. Söderberg
F. Löfman
14
5
0
13 Jun 2022
On the relationship between calibrated predictors and unbiased volume
  estimation
On the relationship between calibrated predictors and unbiased volume estimation
Teodora Popordanoska
J. Bertels
Dirk Vandermeulen
F. Maes
Matthew B. Blaschko
26
10
0
23 Dec 2021
Calibrating the Dice loss to handle neural network overconfidence for
  biomedical image segmentation
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
14
30
0
31 Oct 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
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