Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network

Abstract Objective To create a deep‐learning automatic segmentation model for esophageal cancer (EC), metastatic lymph nodes (MLNs) and their adjacent structures using the UperNet Swin network and computed tomography angiography (CTA) images and to improve the effectiveness and precision of EC autom...

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Bibliographic Details
Main Authors:	Runyuan Wang, Xingcai Chen, Xiaoqin Zhang, Ping He, Jinfeng Ma, Huilin Cui, Ximei Cao, Yongjian Nian, Ximing Xu, Wei Wu, Yi Wu
Format:	Article
Language:	English
Published:	Wiley 2024-09-01
Series:	Cancer Medicine
Subjects:	3D reconstruction automatic segmentation computed tomography angiography (CTA) deep learning esophageal cancer
Online Access:	https://doi.org/10.1002/cam4.70188
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Automatic segmentation of esophageal cancer, metastatic lymph nodes and their adjacent structures in CTA images based on the UperNet Swin network

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