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Generalised Dice overlap as a deep learning loss function for highly
  unbalanced segmentations

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

11 July 2017
Carole H Sudre
Wenqi Li
Tom Kamiel Magda Vercauteren
Sébastien Ourselin
M. Jorge Cardoso
    SSeg
ArXivPDFHTML

Papers citing "Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations"

50 / 609 papers shown
Title
Tackling the Class Imbalance Problem of Deep Learning Based Head and
  Neck Organ Segmentation
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation
Elias Tappeiner
M. Welk
R. Schubert
SSeg
AI4CE
24
15
0
05 Jan 2022
Semi-supervised Salient Object Detection with Effective Confidence
  Estimation
Semi-supervised Salient Object Detection with Effective Confidence Estimation
Jiawei Liu
Jing Zhang
Nick Barnes
46
4
0
28 Dec 2021
Generalized Wasserstein Dice Loss, Test-time Augmentation, and
  Transformers for the BraTS 2021 challenge
Generalized Wasserstein Dice Loss, Test-time Augmentation, and Transformers for the BraTS 2021 challenge
Lucas Fidon
Suprosanna Shit
Ivan Ezhov
Johannes C. Paetzold
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
ViT
MedIm
38
8
0
24 Dec 2021
Deep ensembles in bioimage segmentation
Deep ensembles in bioimage segmentation
L. Nanni
Daniela Cuza
A. Lumini
Andrea Loreggia
S. Brahnam
SSeg
18
8
0
24 Dec 2021
Deep learning for brain metastasis detection and segmentation in
  longitudinal MRI data
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
Yixing Huang
Christoph Bert
P. Sommer
Benjamin Frey
U. Gaipl
...
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
24
41
0
22 Dec 2021
Distribution-aware Margin Calibration for Semantic Segmentation in
  Images
Distribution-aware Margin Calibration for Semantic Segmentation in Images
Litao Yu
Zhibin Li
Min Xu
Yongsheng Gao
Jiebo Luo
Jian Zhang
12
15
0
21 Dec 2021
Teacher-Student Architecture for Mixed Supervised Lung Tumor
  Segmentation
Teacher-Student Architecture for Mixed Supervised Lung Tumor Segmentation
Vemund Fredriksen
Svein Ole M. Svele
André Pedersen
T. Langø
Gabriel Kiss
Frank Lindseth
28
1
0
21 Dec 2021
GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery
  Localization and Detection
GCA-Net : Utilizing Gated Context Attention for Improving Image Forgery Localization and Detection
Sowmen Das
Md. Saiful Islam
Md Ruhul Amin
8
23
0
08 Dec 2021
Radar Occupancy Prediction with Lidar Supervision while Preserving
  Long-Range Sensing and Penetrating Capabilities
Radar Occupancy Prediction with Lidar Supervision while Preserving Long-Range Sensing and Penetrating Capabilities
P. Kung
Chieh-Chih Wang
Wen-Chieh Lin
24
12
0
08 Dec 2021
End-to-End Segmentation via Patch-wise Polygons Prediction
End-to-End Segmentation via Patch-wise Polygons Prediction
Tal Shaharabany
Lior Wolf
11
0
0
05 Dec 2021
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation
Hrishikesh Sharma
Pandaba Pradhan
P. Balamuralidhar
33
6
0
02 Dec 2021
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in
  Satellite Images
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
Stefano Zorzi
S. Bazrafkan
Stefan Habenschuss
Friedrich Fraundorfer
24
80
0
30 Nov 2021
Building extraction with vision transformer
Building extraction with vision transformer
Libo Wang
Shenghui Fang
Rui Li
Xiaoliang Meng
ViT
35
161
0
29 Nov 2021
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with
  Low GPU Memory Requirements
Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements
Franz Thaler
Christian Payer
Horst Bischof
Darko Štern
30
5
0
26 Nov 2021
Exploring Feature Representation Learning for Semi-supervised Medical
  Image Segmentation
Exploring Feature Representation Learning for Semi-supervised Medical Image Segmentation
Huimin Wu
Xuelong Li
Kwang-Ting Cheng
33
13
0
22 Nov 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
25
30
0
31 Oct 2021
3D-OOCS: Learning Prostate Segmentation with Inductive Bias
3D-OOCS: Learning Prostate Segmentation with Inductive Bias
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
6
1
0
29 Oct 2021
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways
K-Lane: Lidar Lane Dataset and Benchmark for Urban Roads and Highways
Dong-Hee Paek
Seung-Hyung Kong
Kevin Tirta Wijaya
3DV
27
21
0
21 Oct 2021
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with
  Transformers
3D-RETR: End-to-End Single and Multi-View 3D Reconstruction with Transformers
Z. Shi
Zhao Meng
Yiran Xing
Yunpu Ma
Roger Wattenhofer
ViT
48
34
0
17 Oct 2021
Spatial-temporal V-Net for automatic segmentation and quantification of
  right ventricles in gated myocardial perfusion SPECT images
Spatial-temporal V-Net for automatic segmentation and quantification of right ventricles in gated myocardial perfusion SPECT images
Chen Zhao
Shi-ming Shi
Zhuo He
Cheng Wang
Zhongqiang Zhao
Xinli Li
Yanli Zhou
Weihua Zhou
20
0
0
11 Oct 2021
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic
  liver segmentation in CT
EAR-U-Net: EfficientNet and attention-based residual U-Net for automatic liver segmentation in CT
Jinke Wang
Xiangyang Zhang
Peiqing Lv
Lubiao Zhou
Haiying Wang
SSeg
27
14
0
03 Oct 2021
Robust Segmentation Models using an Uncertainty Slice Sampling Based
  Annotation Workflow
Robust Segmentation Models using an Uncertainty Slice Sampling Based Annotation Workflow
G. Chlebus
A. Schenk
Horst K. Hahn
Bram van Ginneken
H. Meine
21
9
0
30 Sep 2021
Structure-aware scale-adaptive networks for cancer segmentation in
  whole-slide images
Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
Yibao Sun
Edgar Giussepi Lopez Molina
Yaqi Wang
Xingru Huang
Huiyu Zhou
Qianni Zhang
MedIm
16
1
0
26 Sep 2021
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and
  Landmark Localization on 3D Intraoral Scans
Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans
Tai-Hsien Wu
C. Lian
Sanghee Lee
Matthew F. Pastewait
Christian Piers
...
Wenchi Wang
C. Jackson
Wei-Lun Chao
Dinggang Shen
Ching-Chang Ko
3DV
51
54
0
24 Sep 2021
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation
  of Remote Sensing Urban Scene Imagery
UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery
Libo Wang
Rui Li
Ce Zhang
Shenghui Fang
Chenxi Duan
Xiaoliang Meng
P. M. Atkinson
ViT
43
629
0
18 Sep 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
A. Makarevich
Azade Farshad
Vasileios Belagiannis
Nassir Navab
54
10
0
18 Sep 2021
Automated risk classification of colon biopsies based on semantic
  segmentation of histopathology images
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images
J. Bokhorst
Iris Nagtegaal
Filippo Fraggetta
Simona Vatrano
W. Mesker
M. Vieth
Jeroen van der Laak
F. Ciompi
23
0
0
16 Sep 2021
SSEGEP: Small SEGment Emphasized Performance evaluation metric for
  medical image segmentation
SSEGEP: Small SEGment Emphasized Performance evaluation metric for medical image segmentation
R. Ammu
N. Sinha
21
1
0
08 Sep 2021
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life
  3D Category Reconstruction
Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction
Jeremy Reizenstein
Roman Shapovalov
Philipp Henzler
L. Sbordone
Patrick Labatut
David Novotny
3DPC
3DV
63
451
0
01 Sep 2021
OncoPetNet: A Deep Learning based AI system for mitotic figure counting
  on H&E stained whole slide digital images in a large veterinary diagnostic
  lab setting
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting
Michael Fitzke
Derick Whitley
Wilson Yau
Fernando Rodrigues
V. Fadeev
C. Bacmeister
Chris Carter
Jeffrey Edwards
M. Lungren
Mark Parkinson
26
4
0
17 Aug 2021
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image
  Co-segmentation
A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentation
Xi Liu
Xiabi Liu
Huiyu Li
Xiaopeng Gong
16
0
0
17 Aug 2021
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Adapting to Unseen Vendor Domains for MRI Lesion Segmentation
Brandon Mac
A. Moody
A. Khademi
MedIm
27
0
0
14 Aug 2021
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted
  MRI
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI
Santiago Estrada
Ran Lu
K. Diers
W. Zeng
P. Ehses
T. Stöcker
M. Breteler
M. Reuter
27
11
0
09 Aug 2021
Deep Learning methods for automatic evaluation of delayed
  enhancement-MRI. The results of the EMIDEC challenge
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
A. Lalande
Zhihao Chen
T. Pommier
Thomas Decourselle
Abdul Qayyum
...
Yichi Zhang
Lihao Liu
Xiahai Zhuang
R. Couturier
F. Mériaudeau
47
43
0
09 Aug 2021
Region-wise Loss for Biomedical Image Segmentation
Region-wise Loss for Biomedical Image Segmentation
Juan Miguel Valverde
Jussi Tohka
15
5
0
03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix
Robust Semantic Segmentation with Superpixel-Mix
Gianni Franchi
Nacim Belkhir
Mai Lan Ha
Yufei Hu
Andrei Bursuc
V. Blanz
Angela Yao
UQCV
38
22
0
02 Aug 2021
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image
  Segmentation
Iterative, Deep, and Unsupervised Synthetic Aperture Sonar Image Segmentation
Yun Sun
Isaac D. Gerg
V. Monga
8
3
0
30 Jul 2021
Medical Instrument Segmentation in 3D US by Hybrid Constrained
  Semi-Supervised Learning
Medical Instrument Segmentation in 3D US by Hybrid Constrained Semi-Supervised Learning
Hongxu Yang
Caifeng Shan
Arthur Bouwman
L. Dekker
Alexander F. Kolen
Peter H. N. de With
22
10
0
30 Jul 2021
Development and evaluation of intraoperative ultrasound segmentation
  with negative image frames and multiple observer labels
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels
Liam F Chalcroft
Jiongqi Qu
Sophie Martin
Iani J. M. B. Gayo
G. Minore
...
Shaheer U. Saeed
Qianye Yang
Zachary Michael Cieman Baum
Andre Altmann
Yipeng Hu
17
2
0
28 Jul 2021
Improving Polyphonic Sound Event Detection on Multichannel Recordings
  with the Sørensen-Dice Coefficient Loss and Transfer Learning
Improving Polyphonic Sound Event Detection on Multichannel Recordings with the Sørensen-Dice Coefficient Loss and Transfer Learning
Karn N. Watcharasupat
Thi Ngoc Tho Nguyen
Ngoc Khanh Nguyen
Zhen Jian Lee
Douglas L. Jones
W. Gan
19
0
0
22 Jul 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
41
42
0
20 Jul 2021
Automated Segmentation and Volume Measurement of Intracranial Carotid
  Artery Calcification on Non-Contrast CT
Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
Gerda Bortsova
D. Bos
Florian Dubost
Meike W. Vernooij
M. Ikram
Gijs van Tulder
Marleen de Bruijne
12
8
0
20 Jul 2021
Deep learning approaches to Earth Observation change detection
Deep learning approaches to Earth Observation change detection
A. Pilato
Nicolò Taggio
A. Pompili
Michele Iacobellis
A. Florio
D. Passarelli
S. Samarelli
14
10
0
13 Jul 2021
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in
  Fundus Images of the Degenerated Retina
U-Net with Hierarchical Bottleneck Attention for Landmark Detection in Fundus Images of the Degenerated Retina
Shuyun Tang
Z. Qi
Jacob Granley
M. Beyeler
14
9
0
09 Jul 2021
Striking the Right Balance: Recall Loss for Semantic Segmentation
Striking the Right Balance: Recall Loss for Semantic Segmentation
Junjiao Tian
Niluthpol Chowdhury Mithun
Zachary Seymour
Han-Pang Chiu
Z. Kira
11
31
0
28 Jun 2021
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery
  Segmentation
Encoder-Decoder Architectures for Clinically Relevant Coronary Artery Segmentation
Joao Lourencco Silva
M. Menezes
T. Rodrigues
B. Silva
F. Pinto
Arlindo L. Oliveira
MedIm
31
17
0
21 Jun 2021
ICDAR 2021 Competition on Components Segmentation Task of Document
  Photos
ICDAR 2021 Competition on Components Segmentation Task of Document Photos
C. A. M. L. Junior
R. B. D. N. Junior
B. Bezerra
Alejandro H. Toselli
D. Impedovo
35
2
0
16 Jun 2021
Highlighting the Importance of Reducing Research Bias and Carbon
  Emissions in CNNs
Highlighting the Importance of Reducing Research Bias and Carbon Emissions in CNNs
A. Badar
Arnav Varma
Adrian Staniec
Mahmoud Gamal
Omar Magdy
Haris Iqbal
Elahe Arani
Bahram Zonooz
25
6
0
06 Jun 2021
Meta-learning with implicit gradients in a few-shot setting for medical
  image segmentation
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
Rabindra Khadka
Debesh Jha
Steven Hicks
Vajira Thambawita
Michael A. Riegler
Sharib Ali
P. Halvorsen
38
46
0
06 Jun 2021
Recent advances and clinical applications of deep learning in medical
  image analysis
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
23
574
0
27 May 2021
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