U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images

U-Net Plus: Deep Semantic Segmentation for Esophagus and Esophageal Cancer in Computed Tomography Images

The effective segmentation and 3-D rendering of the esophagus and esophageal cancer from the computed tomography (CT) images can assist doctors in diagnosing esophageal cancer. Irregular and vague boundary causes great difficulty in the segmentation of esophagus and esophageal cancer. In this paper,...

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Bibliographic Details
Main Authors: Shuchao Chen, Han Yang, Jiawen Fu, Weijian Mei, Shuai Ren, Yifei Liu, Zhihua Zhu, Lizhi Liu, Haojiang Li, Hongbo Chen
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Esophageal cancer
image segmentation
deep learning
computed tomography (CT)
Online Access:https://ieeexplore.ieee.org/document/8740860/

Internet

https://ieeexplore.ieee.org/document/8740860/

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