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A Deep Learning Radiomics Analysis for Survival Prediction in Esophageal Cancer

The purpose of this study was to explore the deep learning radiomics (DLR) nomogram to predict the overall 3-year survival after chemoradiotherapy in patients with esophageal cancer. The 154 patients' data were used in this study, which was randomly split into training (116) and validation (38)...

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Detalles Bibliográficos
Autores principales:	Wang, Junxiu, Zeng, Jianchao, Li, Hongwei, Yu, Xiaoqing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8970800/ https://www.ncbi.nlm.nih.gov/pubmed/35368956 http://dx.doi.org/10.1155/2022/4034404

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