Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal Tumors

OBJECTIVE: To develop and evaluate a deep learning model (DLM) for predicting the risk stratification of gastrointestinal stromal tumors (GISTs). METHODS: Preoperative contrast-enhanced CT images of 733 patients with GISTs were retrospectively obtained from two centers between January 2011 and June...

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Detalles Bibliográficos
Autores principales: Kang, Bing, Yuan, Xianshun, Wang, Hexiang, Qin, Songnan, Song, Xuelin, Yu, Xinxin, Zhang, Shuai, Sun, Cong, Zhou, Qing, Wei, Ying, Shi, Feng, Yang, Shifeng, Wang, Ximing
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/PMC8496403/
https://www.ncbi.nlm.nih.gov/pubmed/34631589
http://dx.doi.org/10.3389/fonc.2021.750875

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496403/
https://www.ncbi.nlm.nih.gov/pubmed/34631589
http://dx.doi.org/10.3389/fonc.2021.750875

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