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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Autores principales:	Runyuan Wang, Xingcai Chen, Xiaoqin Zhang, Ping He, Jinfeng Ma, Huilin Cui, Ximei Cao, Yongjian Nian, Ximing Xu, Wei Wu, Yi Wu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Wiley 2024-09-01
Colección:	Cancer Medicine
Materias:	3D reconstruction automatic segmentation computed tomography angiography (CTA) deep learning esophageal cancer
Acceso en línea:	https://doi.org/10.1002/cam4.70188
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