Development and validation of a Radiopathomics model based on CT scans and whole slide images for discriminating between Stage I-II and Stage III gastric cancer

Development and validation of a Radiopathomics model based on CT scans and whole slide images for discriminating between Stage I-II and Stage III gastric cancer

Abstract Objective This study aimed to develop and validate an artificial intelligence radiopathological model using preoperative CT scans and postoperative hematoxylin and eosin (HE) stained slides to predict the pathological staging of gastric cancer (stage I-II and stage III). Methods This study...

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Bibliographic Details
Main Authors: Yang Tan, Li-juan Feng, Ying-he Huang, Jia-wen Xue, Zhen-Bo Feng, Li-ling Long
Format: Article
Language:English
Published: BMC 2024-03-01
Series:BMC Cancer
Subjects:
Computed tomography
Whole slide image
Gastric Cancer
Radiopathomics
Radiomics
Pathomics
Online Access:https://doi.org/10.1186/s12885-024-12021-2

Internet

https://doi.org/10.1186/s12885-024-12021-2

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