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Spatially Varying Label Smoothing: Capturing Uncertainty from Expert
  Annotations

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations

12 April 2021
Mobarakol Islam
Ben Glocker
    UQCV
ArXivPDFHTML

Papers citing "Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations"

15 / 15 papers shown
Title
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
Calibration and Uncertainty for multiRater Volume Assessment in multiorgan Segmentation (CURVAS) challenge results
Meritxell Riera-Marin
S. Ko
Julia Rodriguez-Comas
Matthias Stefan May
Zhaohong Pan
...
Anton Aubanell
Andreu Antolin
Javier Garcia-Lopez
M. A. G. Ballester
Adrian Galdran
UQCV
48
0
0
13 May 2025
A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
A Lightweight and Extensible Cell Segmentation and Classification Model for Whole Slide Images
N. Shvetsov
T. Kilvaer
M. Tafavvoghi
Anders Sildnes
Kajsa Møllersen
Lill-ToveRasmussen Busund
L. A. Bongo
VLM
71
1
0
26 Feb 2025
Advancing Medical Image Segmentation: Morphology-Driven Learning with
  Diffusion Transformer
Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer
Sungmin Kang
Jaeha Song
Jihie Kim
MedIm
43
2
0
01 Aug 2024
Class and Region-Adaptive Constraints for Network Calibration
Class and Region-Adaptive Constraints for Network Calibration
Balamurali Murugesan
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
36
1
0
19 Mar 2024
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
46
20
0
09 Oct 2023
Boundary-weighted logit consistency improves calibration of segmentation
  networks
Boundary-weighted logit consistency improves calibration of segmentation networks
Neerav Karani
Neel Dey
Polina Golland
27
3
0
16 Jul 2023
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for
  Surgical Scene Understanding
Confidence-Aware Paced-Curriculum Learning by Label Smoothing for Surgical Scene Understanding
Mengya Xu
Mobarakol Islam
Ben Glocker
Hongliang Ren
36
1
0
22 Dec 2022
Context Label Learning: Improving Background Class Representations in
  Semantic Segmentation
Context Label Learning: Improving Background Class Representations in Semantic Segmentation
Zeju Li
Konstantinos Kamnitsas
Cheng Ouyang
Chen Chen
Ben Glocker
VLM
30
6
0
16 Dec 2022
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise
  Robust Loss
Weakly Supervised Medical Image Segmentation With Soft Labels and Noise Robust Loss
B. Felfeliyan
A. Hareendranathan
G. Kuntze
S. Wichuk
Nils D. Forkert
Jacob L. Jaremko
J. Ronsky
NoLa
46
2
0
16 Sep 2022
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
26
17
0
13 Sep 2022
Learning with Weak Annotations for Robust Maritime Obstacle Detection
Learning with Weak Annotations for Robust Maritime Obstacle Detection
Lojze Žust
Matej Kristan
16
1
0
27 Jun 2022
Learning to segment fetal brain tissue from noisy annotations
Learning to segment fetal brain tissue from noisy annotations
Davood Karimi
C. Rollins
C. Velasco-Annis
Abdelhakim Ouaalam
Ali Gholipour
26
25
0
25 Mar 2022
Maximum Entropy on Erroneous Predictions (MEEP): Improving model
  calibration for medical image segmentation
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation
Agostina J. Larrazabal
Cesar E. Martínez
Jose Dolz
Enzo Ferrante
21
15
0
22 Dec 2021
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations
  on Single Whole-Slide Images
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Zhenzhen Wang
Carla Saoud
A. Popel
Aaron W. James
Aleksander S. Popel
Jeremias Sulam
21
21
0
22 Sep 2021
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and
  Supervised Lesion Detection
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion Detection
H. Akrami
Anand A. Joshi
Sergul Aydore
Richard M. Leahy
UQCV
39
4
0
20 Sep 2021
1