A Novel Hybrid Convolutional Neural Network for Accurate Organ
Segmentation in 3D Head and Neck CT Images

A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images

26 September 2021

Cheng Li

Jin Ye

Yu Qiao

Papers citing "A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images"

6 / 6 papers shown

Title
Improving Uncertainty-Error Correspondence in Deep Bayesian Medical Image Segmentation P. Mody Nicolas F. Chaves-de-Plaza Chinmay Rao Eleftheria Astrenidou M. de Ridder N. Hoekstra Klaus Hildebrandt Marius Staring UQCV 15 0 0 05 Sep 2024
Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation Xiaoyu Liu Linhao Qu Ziyue Xie Jiayue Zhao Yonghong Shi Zhijian Song 21 6 0 01 Mar 2023
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 27 6 0 07 Feb 2023
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ Segmentation Elias Tappeiner M. Welk R. Schubert SSeg AI4CE 12 14 0 05 Jan 2022
Comparing Bayesian Models for Organ Contouring in Head and Neck Radiotherapy P. Mody Nicolas F. Chaves-de-Plaza Klaus Hildebrandt R. Egmond H. Ridder Marius Staring UQCV 8 7 0 01 Nov 2021
Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions Yichi Zhang Qingcheng Liao Leiting Ding Jicong Zhang 3DV 13 79 0 13 Oct 2020