Towards more precise automatic analysis: a comprehensive survey of deep
learning-based multi-organ segmentation

Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation

1 March 2023

Papers citing "Towards more precise automatic analysis: a comprehensive survey of deep learning-based multi-organ segmentation"

10 / 10 papers shown

Title
DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ Segmentation Haoran Lai Tao Wang Shuoling Zhou SSeg 11 2 0 22 Sep 2022
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 35 8 0 26 Sep 2021
Efficient Context-Aware Network for Abdominal Multi-organ Segmentation Fan Zhang Yu Wang Hua Yang SSeg MedIm 26 22 0 22 Sep 2021
Mutual Consistency Learning for Semi-supervised Medical Image Segmentation Yicheng Wu Z. Ge Donghao Zhang Minfeng Xu Lei Zhang Yong-quan Xia Jianfei Cai OOD SSL 67 230 0 21 Sep 2021
MISSFormer: An Effective Medical Image Segmentation Transformer Xiaohong Huang Zhifang Deng Dandan Li Xueguang Yuan ViT MedIm 87 174 0 15 Sep 2021
UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer Haonan Wang Peng Cao Jiaqi Wang Osmar R. Zaiane MedIm ViT 123 708 0 09 Sep 2021
TransClaw U-Net: Claw U-Net with Transformers for Medical Image Segmentation Yao Chang Menghan Hu Zhai Guangtao Xiao-Ping Zhang MedIm ViT 68 96 0 12 Jul 2021
LambdaNetworks: Modeling Long-Range Interactions Without Attention Irwan Bello 267 179 0 17 Feb 2021
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Yundong Zhang Huiye Liu Qiang Hu ViT MedIm 203 891 0 16 Feb 2021
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 249 36,362 0 25 Aug 2016