Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation

31 October 2021

Carola-Bibiane Schönlieb

Guang Yang

UQCV

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Papers citing "Calibrating the Dice loss to handle neural network overconfidence for biomedical image segmentation"

28 / 28 papers shown

Title
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 40 19 0 08 Nov 2022
Understanding Softmax Confidence and Uncertainty Tim Pearce Alexandra Brintrup Jun Zhu UQCV 143 94 0 09 Jun 2021
Common Limitations of Image Processing Metrics: A Picture Story Annika Reinke M. Tizabi Carole H. Sudre Matthias Eisenmann Tim Radsch ... Gaël Varoquaux Manuel Wiesenfarth Ziv R. Yaniv Paul Jäger Lena Maier-Hein 58 145 0 12 Apr 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 66 407 0 08 Feb 2021
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 104 261 0 26 Oct 2020
The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge N. Heller Fabian Isensee Klaus H. Maier-Hein X. Hou Chunmei Xie ... S. Peterson A. Kalapara N. Sathianathen Nikolaos Papanikolopoulos C. Weight 57 487 0 02 Dec 2019
Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation Alireza Mehrtash W. Wells C. Tempany Purang Abolmaesumi Tina Kapur OOD FedML UQCV 113 275 0 29 Nov 2019
Optimization with soft Dice can lead to a volumetric bias J. Bertels D. Robben Dirk Vandermeulen P. Suetens 56 23 0 06 Nov 2019
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning Dominik Muller Frank Kramer 43 118 0 21 Oct 2019
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes N. Heller N. Sathianathen A. Kalapara E. Walczak K. Moore ... M. Peterson Shaneabbas Raza S. Regmi Nikolaos Papanikolopoulos C. Weight 59 411 0 31 Mar 2019
Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella V. Rotemberg P. Tschandl M. E. Celebi Stephen W. Dusza ... Aadi Kalloo Konstantinos Liopyris Michael Marchetti Harald Kittler Allan Halpern 99 1,186 0 09 Feb 2019
A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation Nabila Abraham N. Khan SSeg MedIm 68 702 0 18 Oct 2018
Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI Jörg Sander B. D. de Vos J. Wolterink Ivana Išgum 50 59 0 27 Sep 2018
Normalization in Training U-Net for 2D Biomedical Semantic Segmentation Xiao-Yun Zhou Guang-Zhong Yang 51 78 0 11 Sep 2018
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes Ken C. L. Wong Mehdi Moradi Hui Tang Tanveer Syeda-Mahmood 3DV SSeg 45 191 0 31 Aug 2018
Leveraging Uncertainty Estimates for Predicting Segmentation Quality Terrance Devries Graham W. Taylor UQCV 115 114 0 02 Jul 2018
Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation Saeid Asgari Taghanaki Yefeng Zheng S. Kevin Zhou Bogdan Georgescu Puneet Sharma Daguang Xu Dorin Comaniciu Ghassan Hamarneh 79 336 0 08 May 2018
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 117 2,146 0 11 Jul 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks Lucas Fidon Wenqi Li Luis C. Garcia-Peraza-Herrera J. Ekanayake N. Kitchen Sebastien Ourselin Tom Vercauteren SSeg 53 149 0 03 Jul 2017
Tversky loss function for image segmentation using 3D fully convolutional deep networks S. Salehi Deniz Erdogmus Ali Gholipour MedIm 54 832 0 18 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,827 0 14 Jun 2017
Transfer Learning for Domain Adaptation in MRI: Application in Brain Lesion Segmentation Mohsen Ghafoorian Alireza Mehrtash Tina Kapur N. Karssemeijer E. Marchiori ... Bram van Ginneken Andrey Fedorov Purang Abolmaesumi B. Platel W. Wells MedIm OOD 54 334 0 25 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 822 5,811 0 05 Dec 2016
The Importance of Skip Connections in Biomedical Image Segmentation M. Drozdzal Eugene Vorontsov Gabriel Chartrand Samuel Kadoury C. Pal MedIm 78 1,045 0 14 Aug 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 221 8,681 0 15 Jun 2016
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation H. Roth Le Lu A. Farag Hoo-Chang Shin Jiamin Liu E. Turkbey Ronald M. Summers SSeg MedIm 70 743 0 22 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 818 9,306 0 06 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.8K 77,133 0 18 May 2015