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

Tom Kamiel Magda Vercauteren

Sébastien Ourselin

M. Jorge Cardoso

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

9 / 609 papers shown

Title
Deep learning and its application to medical image segmentation H. Roth Chen Shen H. Oda M. Oda Y. Hayashi K. Misawa K. Mori MedIm SSeg 48 114 0 23 Mar 2018
Deep learning in radiology: an overview of the concepts and a survey of the state of the art Maciej A. Mazurowski Mateusz Buda Ashirbani Saha Mustafa R. Bashir MedIm AI4CE 21 430 0 10 Feb 2018
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks Chen Shen H. Roth H. Oda M. Oda Y. Hayashi K. Misawa K. Mori 3DPC SSeg 29 47 0 18 Jan 2018
Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review J. Bernal Kaisar Kushibar Daniel S. Asfaw Sergi Valverde A. Oliver Robert Martí Xavier Llado 22 349 0 11 Dec 2017
NiftyNet: a deep-learning platform for medical imaging Eli Gibson Wenqi Li Carole Sudre Lucas Fidon D. I. Shakir ... Marc Modat D. Barratt Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren 33 526 0 11 Sep 2017
An Adaptive Sampling Scheme to Efficiently Train Fully Convolutional Networks for Semantic Segmentation L. Berger E. Hyde M. Jorge Cardoso Sebastien Ourselin SSeg 21 40 0 08 Sep 2017
Automatic Brain Tumor Segmentation using Cascaded Anisotropic Convolutional Neural Networks Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 24 479 0 01 Sep 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks Lucas Fidon Wenqi Li Luis C. García-Peraza-Herrera J. Ekanayake N. Kitchen Sebastien Ourselin Tom Kamiel Magda Vercauteren SSeg 32 149 0 03 Jul 2017
Fully Convolutional Neural Networks to Detect Clinical Dermoscopic Features J. Kawahara Ghassan Hamarneh MedIm 16 59 0 14 Mar 2017