On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks

18 January 2018

Papers citing "On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks"

7 / 7 papers shown

Title
A Deep Learning Framework for Spatiotemporal Ultrasound Localization Microscopy Léo Milecki Jonathan Porée H. Belgharbi Chloé Bourquin R. Damseh P. Delafontaine-Martel F. Lesage Maxime Gasse Jean Provost 21 61 0 12 Oct 2023
FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation Pratima Upretee Bishesh Khanal MedIm 21 10 0 31 Jul 2022
SoftSeg: Advantages of soft versus binary training for image segmentation C. Gros A. Lemay Julien Cohen-Adad 33 70 0 18 Nov 2020
Dice Loss for Data-imbalanced NLP Tasks Xiaoya Li Xiaofei Sun Yuxian Meng Junjun Liang Fei Wu Jiwei Li 41 566 0 07 Nov 2019
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI Saman Motamed Isha Gujrathi D. Deniffel Anton Oentoro M. Haider Farzad Khalvati MedIm 11 9 0 20 Sep 2019
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams Chenglong Wang H. Roth T. Kitasaka M. Oda Y. Hayashi Y. Yoshino Tokunori Yamamoto N. Sassa M. Goto K. Mori 30 19 0 05 Aug 2019
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