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

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

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Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions Sanguk Park Minyoung Chung 9 15 0 27 May 2021
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SemSegLoss: A python package of loss functions for semantic segmentation Shruti Jadon SSeg VLM 32 9 0 18 May 2021
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Enhanced U-Net: A Feature Enhancement Network for Polyp Segmentation Krushi Patel A. Bur Guanghui Wang 100 102 0 03 May 2021
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! H. Kervadec Houda Bahig L. Létourneau-Guillon Jose Dolz Ismail Ben Ayed 129 13 0 03 May 2021
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations Varun Nagaraj Rao Xingjian Zhen K. Hovsepian Mingwei Shen 37 18 0 29 Apr 2021
PocketNet: A Smaller Neural Network for Medical Image Analysis A. Celaya Jonas A. Actor Rajarajesawari Muthusivarajan Evan Gates C. Chung Dawid Schellingerhout B. Rivière David T. Fuentes SSeg MedIm 18 26 0 21 Apr 2021
Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan David Pichler David Wilson N. Hovakimyan Jennifer Hobbs 47 6 0 20 Apr 2021
Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses Bingyuan Liu Jose Dolz Adrian Galdran Riadh Kobbi Ismail Ben Ayed 40 15 0 18 Apr 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 24 141 0 12 Apr 2021
Efficient Model Monitoring for Quality Control in Cardiac Image Segmentation Francesco Galati Maria A. Zuluaga 13 15 0 12 Apr 2021
DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-scale Consistency Zongxin Yang Xin Yu Yi Yang 18 40 0 08 Apr 2021
Deep ensembles based on Stochastic Activation Selection for Polyp Segmentation A. Lumini L. Nanni Gianluca Maguolo SSeg 19 3 0 02 Apr 2021
Automatic airway segmentation from Computed Tomography using robust and efficient 3-D convolutional neural networks Antonio Garcia-Uceda Juarez R. Selvan Z. Saghir H. Tiddens M. de Bruijne 3DV 33 44 0 30 Mar 2021
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Decomposing Normal and Abnormal Features of Medical Images into Discrete Latent Codes for Content-Based Image Retrieval Kazuma Kobayashi Ryuichiro Hataya Y. Kurose M. Miyake Masamichi Takahashi Akiko Nakagawa Tatsuya Harada Ryuji Hamamoto MedIm 28 18 0 23 Mar 2021
Deep Label Fusion: A 3D End-to-End Hybrid Multi-Atlas Segmentation and Deep Learning Pipeline L. Xie L. Wisse Jiancong Wang S. Ravikumar T. Glenn A. Luther Sydney A. Lim David A. Wolk Paul Yushkevich 23 2 0 19 Mar 2021
Unknown Object Segmentation from Stereo Images M. Durner W. Boerdijk M. Sundermeyer W. Friedl Zoltán-Csaba Márton Rudolph Triebel 34 34 0 11 Mar 2021
Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient Florian Kofler Ivan Ezhov Fabian Isensee F. Balsiger Christoph Berger ... C. Zimmer D. Ankerst Jan Kirschke Benedikt Wiestler Bjoern H. Menze 31 51 0 10 Mar 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation K. R. M. Fernando Cris P Tsokos 36 53 0 09 Mar 2021
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Cell abundance aware deep learning for cell detection on highly imbalanced pathological data Y. Hagos Catherine S. Y. Lecat Dominic Patel L. Lee T. Tran M. Rodríguez-Justo K. Yong Yinyin Yuan 25 6 0 23 Feb 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 35 396 0 08 Feb 2021
Active Boundary Loss for Semantic Segmentation Chi-Yin Wang Yunke Zhang Miaomiao Cui Peiran Ren Yin Yang Xuansong Xie Xiansheng Hua Hujun Bao Weiwei Xu 52 63 0 04 Feb 2021
Atlas-aware ConvNetfor Accurate yet Robust Anatomical Segmentation Yuan Liang Weinan Song Jiawei Yang Liang Qiu Kun Wang Lei He MedIm 23 3 0 02 Feb 2021
A Survey and Analysis on Automated Glioma Brain Tumor Segmentation and Overall Patient Survival Prediction R. Agravat M. Raval 32 22 0 26 Jan 2021
Comparing Deep Learning strategies for paired but unregistered multimodal segmentation of the liver in T1 and T2-weighted MRI V. Couteaux Mathilde Trintignac O. Nempont G. Pizaine A. Vlachomitrou P. Valette L. Milot Isabelle Bloch 25 3 0 18 Jan 2021
Bladder segmentation based on deep learning approaches: current limitations and lessons M. Bandyk D. Gopireddy C. Lall K. Balaji Jose Dolz 16 0 0 16 Jan 2021
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision W. Adorno A. Catalano L. Ehsan H. Eckstaedt B. Barnes E. McGowan Sana Syed Donald E. Brown 14 14 0 13 Jan 2021
Deep State Inference: Toward Behavioral Model Inference of Black-box Software Systems Foozhan Ataiefard Mohammad Jafar Mashhadi Hadi Hemmati Neil Walkinshaw MLAU 32 4 0 13 Jan 2021
Multitask Learning for Class-Imbalanced Discourse Classification Alexander Spangher Jonathan May Sz-Rung Shiang Lingjia Deng 14 5 0 02 Jan 2021
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task Haozhe Jia Weidong (Tom) Cai Heng-Chiao Huang Yong-quan Xia 27 45 0 30 Dec 2020
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures Laura Mora Ballestar Verónica Vilaplana 24 36 0 30 Dec 2020
Localization in the Crowd with Topological Constraints Shahira Abousamra Minh Hoai Dimitris Samaras Chao Chen 27 133 0 23 Dec 2020
Relightable 3D Head Portraits from a Smartphone Video Artem Sevastopolsky SA Ignatiev Gonzalo Ferrer Evgeny Burnaev Victor Lempitsky 3DH 11 13 0 17 Dec 2020
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery Saba Dadsetan G. Rose N. Hovakimyan Jennifer Hobbs 35 7 0 17 Dec 2020
Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya Shimaa Baraka Benjamin Akera B. Aryal T. Sherpa Finu Shresta Anthony Ortiz Kris Sankaran J. L. Ferres M. Matin Yoshua Bengio 11 11 0 09 Dec 2020
Offset Curves Loss for Imbalanced Problem in Medical Segmentation Ngan Le T. Hoang Ngan Le Kashu Yamazaki T. Bui Khoa Luu Marios Savvides 6 11 0 04 Dec 2020
From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting K. Mangalam Yang An Harshayu Girase Jitendra Malik 19 264 0 02 Dec 2020
Deep learning approach to left ventricular non-compaction measurement Jesús M. Rodríguez-de-Vera J. González-Carrillo J. M. García Gregorio Bernabé 21 0 0 30 Nov 2020
SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking Elena Burceanu VOS 17 0 0 27 Nov 2020
IFSS-Net: Interactive Few-Shot Siamese Network for Faster Muscle Segmentation and Propagation in Volumetric Ultrasound D. Chanti Vanessa Gonzalez Duque Marion Crouzier A. Nordez L. Lacourpaille Diana Mateus MedIm 11 0 0 26 Nov 2020
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy B. Kim Jose Dolz Christian Desrosiers Pierre-Marc Jodoin MedIm 30 4 0 25 Nov 2020
$We don't Need Thousand Proposals$\colon$ Single Shot Actor-Action Detection in Videos$ We don't Need Thousand Proposals $\colon$ Single Shot Actor-Action Detection in Videos A. J. Rana Yogesh S Rawat ViT 13 11 0 22 Nov 2020
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 38 72 0 18 Nov 2020
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High-level Prior-based Loss Functions for Medical Image Segmentation: A Survey Rosana El Jurdia Caroline Petitjean P. Honeine Dovile Juodelyte F. Abdallah SSeg MedIm 33 79 0 16 Nov 2020