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

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

ObjectiveTo develop and evaluate a deep learning model (DLM) for predicting the risk stratification of gastrointestinal stromal tumors (GISTs).MethodsPreoperative contrast-enhanced CT images of 733 patients with GISTs were retrospectively obtained from two centers between January 2011 and June 2020....

Full description

Bibliographic Details
Main Authors: Bing Kang, Xianshun Yuan, Hexiang Wang, Songnan Qin, Xuelin Song, Xinxin Yu, Shuai Zhang, Cong Sun, Qing Zhou, Ying Wei, Feng Shi, Shifeng Yang, Ximing Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Oncology
Subjects:
gastrointestinal stromal tumors
risk assessment
deep learning
tomography
X-ray computed
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2021.750875/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2021.750875/full

Similar Items