Computed Tomography Texture Features and Risk Factor Analysis of Postoperative Recurrence of Patients with Advanced Gastric Cancer after Radical Treatment under Artificial Intelligence Algorithm

Computer tomography texture analysis (CTTA) based on the V-Net convolutional neural network (CNN) algorithm was used to analyze the recurrence of advanced gastric cancer after radical treatment. Meanwhile, the clinical characteristics of patients were analyzed to explore the recurrence factors. 86 p...

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Detalles Bibliográficos
Autores principales: Zhou, Zhiwu, Zhang, Mei, Liao, Chuanwen, Zhang, Hong, Yang, Qing, Yang, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155975/
https://www.ncbi.nlm.nih.gov/pubmed/35655504
http://dx.doi.org/10.1155/2022/1852718

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155975/
https://www.ncbi.nlm.nih.gov/pubmed/35655504
http://dx.doi.org/10.1155/2022/1852718

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