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Optimizing the Dice Score and Jaccard Index for Medical Image
  Segmentation: Theory & Practice

Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice

5 November 2019
J. Bertels
Tom Eelbode
Maxim Berman
Dirk Vandermeulen
F. Maes
R. Bisschops
Matthew Blaschko
ArXivPDFHTML

Papers citing "Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice"

28 / 28 papers shown
Title
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging
Elena Mulero Ayllón
Massimiliano Mantegna
Linlin Shen
Paolo Soda
V. Guarrasi
M. Tortora
47
0
0
02 May 2025
Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models
Post-Hurricane Debris Segmentation Using Fine-Tuned Foundational Vision Models
Kooshan Amini
Yuhao Liu
Jamie Ellen Padgett
Guha Balakrishnan
Ashok Veeraraghavan
33
0
0
17 Apr 2025
GBT-SAM: Adapting a Foundational Deep Learning Model for Generalizable Brain Tumor Segmentation via Efficient Integration of Multi-Parametric MRI Data
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
44
1
0
06 Mar 2025
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
Deep learning and classical computer vision techniques in medical image analysis: Case studies on brain MRI tissue segmentation, lung CT COPD registration, and skin lesion classification
Anyimadu Daniel Tweneboah
Suleiman Taofik Ahmed
Hossain Mohammad Imran
68
0
0
26 Feb 2025
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks
Subin Erattakulangara
Karthika Kelat
Katie Burnham
Rachel Balbi
Sarah E. Gerard
David Meyer
Sajan Goud Lingala
42
1
0
08 Jan 2025
Autonomous Visual Fish Pen Inspections for Estimating the State of
  Biofouling Buildup Using ROV -- Extended Abstract
Autonomous Visual Fish Pen Inspections for Estimating the State of Biofouling Buildup Using ROV -- Extended Abstract
Matej Fabijanić
Nadir Kapetanović
Nikola Mišković
14
4
0
19 Sep 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
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using
  AI
Lumbar Spine Tumor Segmentation and Localization in T2 MRI Images Using AI
Rikathi Pal
Sudeshna Mondal
Aditi Gupta
Priya Saha
Somoballi Ghoshal
Amlan Chakrabarti
S. Sur-Kolay
13
4
0
07 May 2024
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark
Anthony Bilic
Chen Chen
OOD
43
0
0
21 Apr 2024
FusionVision: A comprehensive approach of 3D object reconstruction and
  segmentation from RGB-D cameras using YOLO and fast segment anything
FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything
Safouane El Ghazouali
Youssef Mhirit
Ali Oukhrid
Umberto Michelucci
H. Nouira
46
8
0
29 Feb 2024
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer
  Detection
Domain-Specific Deep Learning Feature Extractor for Diabetic Foot Ulcer Detection
Reza Basiri
M. Popovic
Shehroz S. Khan
21
3
0
27 Nov 2023
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical
  Coherence Tomography Angiography Images
DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images
Bo Qian
Haoxing Chen
Xiangning Wang
Haoxuan Che
Gitaek Kwon
...
Xiaokang Yang
Yiyu Cai
Weiping Jia
Huating Li
Bin Sheng
27
5
0
05 Apr 2023
Noisy Image Segmentation With Soft-Dice
Noisy Image Segmentation With Soft-Dice
M. Nordström
Henrik Hult
A. Maki
F. Löfman
37
2
0
03 Apr 2023
A Generalized Surface Loss for Reducing the Hausdorff Distance in
  Medical Imaging Segmentation
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation
A. Celaya
B. Rivière
David T. Fuentes
MedIm
28
8
0
08 Feb 2023
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
Trong-Hieu Nguyen-Mau
Quoc-Huy Trinh
Nhat-Tan Bui
M. Tran
Hai-Dang Nguyen
MedIm
27
8
0
17 Jan 2023
Double U-Net for Super-Resolution and Segmentation of Live Cell Images
Double U-Net for Super-Resolution and Segmentation of Live Cell Images
Mayur Bhandary
J. P. Reyes
Eylül Ertay
Aman Panda
SupR
SSeg
13
3
0
05 Dec 2022
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
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
30
19
0
08 Nov 2022
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models
  with Uncertain, Small or Empty Reference Annotations
USE-Evaluator: Performance Metrics for Medical Image Segmentation Models with Uncertain, Small or Empty Reference Annotations
Sophie Ostmeier
Brian Axelrod
J. Bertels
Fabian Isensee
Maarten G.Lansberg
Soren Christensen
G. Albers
Li-Jia Li
J. Heit
21
11
0
26 Sep 2022
OysterNet: Enhanced Oyster Detection Using Simulation
OysterNet: Enhanced Oyster Detection Using Simulation
Xiao-sheng Lin
N. Sanket
N. Karapetyan
Yiannis Aloimonos
45
15
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
21
17
0
13 Sep 2022
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
DOMINO: Domain-aware Model Calibration in Medical Image Segmentation
Skylar E. Stolte
Kyle Volle
A. Indahlastari
Alejandro Albizu
A. Woods
Kevin Brink
Matthew Hale
R. Fang
25
5
0
13 Sep 2022
Improving Classification Model Performance on Chest X-Rays through Lung
  Segmentation
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Hilda Azimi
Jianxing Zhang
Pengcheng Xi
H. Asad
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
26
7
0
22 Feb 2022
A Survey on Training Challenges in Generative Adversarial Networks for
  Biomedical Image Analysis
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
Muhammad Muneeb Saad
Ruairi O'Reilly
M. H. Rehmani
MedIm
44
35
0
19 Jan 2022
Effect of the output activation function on the probabilities and errors
  in medical image segmentation
Effect of the output activation function on the probabilities and errors in medical image segmentation
Lars Nieradzik
G. Scheuermann
D. Saur
Christina Gillmann
SSeg
MedIm
UQCV
35
6
0
02 Sep 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
31
63
0
29 Jul 2021
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
Tom Eelbode
J. Bertels
Maxim Berman
Dirk Vandermeulen
F. Maes
R. Bisschops
Matthew B. Blaschko
30
255
0
26 Oct 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19
  in chest X-ray images
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
21
114
0
21 Sep 2020
Optimization with soft Dice can lead to a volumetric bias
Optimization with soft Dice can lead to a volumetric bias
J. Bertels
D. Robben
Dirk Vandermeulen
P. Suetens
18
23
0
06 Nov 2019
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