Eso-Net: A Novel 2.5D Segmentation Network With the Multi-Structure Response Filter for the Cancerous Esophagus

Eso-Net: A Novel 2.5D Segmentation Network With the Multi-Structure Response Filter for the Cancerous Esophagus

Automatic segmentation of the cancerous esophagus in computed tomography (CT) images is a computer-assisted method that can improve the efficiency of the diagnosis and treatment. Due to the diversity of the cancer stage and location, the anatomical structure of the cancerous esophagus is various. Mo...

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Bibliographic Details
Main Authors: Donghao Zhou, Guoheng Huang, Jiajian Li, Siyu Zhu, Zhuowei Wang, Bingo Wing-Kuen Ling, Chi-Man Pun, Lianglun Cheng, Xiuyu Cai, Jian Zhou
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Esophageal cancer
medical image segmentation
deep learning
attention mechanism
enhancement filter
Online Access:https://ieeexplore.ieee.org/document/9178277/

Internet

https://ieeexplore.ieee.org/document/9178277/

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