Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation

5 January 2022

Papers citing "Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation"

6 / 6 papers shown

Title
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images Zijie Chen Cheng Li Junjun He Jin Ye Diping Song Shanshan Wang Lixu Gu Yu Qiao 45 9 0 26 Sep 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 58 127 0 20 Feb 2021
Organ at Risk Segmentation for Head and Neck Cancer using Stratified Learning and Neural Architecture Search Dazhou Guo D. Jin Zhuotun Zhu T. Ho Adam P. Harrison Chun-Hung Chao Jing Xiao Alan Yuille Chien-Yu Lin Le Lu 39 59 0 17 Apr 2020
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy Wentao Zhu Yufang Huang Liang Zeng Xuming Chen Yong Liu Zhen Qian Nan Du Wei Fan Xiaohui Xie SSeg 3DPC 42 436 0 15 Aug 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 98 2,132 0 11 Jul 2017
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas M. Heinrich Wenjia Bai ... T. Dawes D. O’Regan Bernhard Kainz Ben Glocker Daniel Rueckert 46 657 0 22 May 2017