Integrating Clinical Data and Attentional CT Imaging Features for Esophageal Fistula Prediction in Esophageal Cancer

BACKGROUND AND PURPOSE: This study aims to develop a risk model to predict esophageal fistula in esophageal cancer (EC) patients by learning from both clinical data and computerized tomography (CT) radiomic features. MATERIALS AND METHODS: In this retrospective study, computerized tomography (CT) im...

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Detalles Bibliográficos
Autores principales: Xu, Yiyue, Cui, Hui, Dong, Taotao, Zou, Bing, Fan, Bingjie, Li, Wanlong, Wang, Shijiang, Sun, Xindong, Yu, Jinming, Wang, Linlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648603/
https://www.ncbi.nlm.nih.gov/pubmed/34888228
http://dx.doi.org/10.3389/fonc.2021.688706

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648603/
https://www.ncbi.nlm.nih.gov/pubmed/34888228
http://dx.doi.org/10.3389/fonc.2021.688706

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