Construction and validation of artificial intelligence pathomics models for predicting pathological staging in colorectal cancer: Using multimodal data and clinical variables

Construction and validation of artificial intelligence pathomics models for predicting pathological staging in colorectal cancer: Using multimodal data and clinical variables

Abstract Objective This retrospective observational study aims to develop and validate artificial intelligence (AI) pathomics models based on pathological Hematoxylin–Eosin (HE) slides and pathological immunohistochemistry (Ki67) slides for predicting the pathological staging of colorectal cancer. T...

Full description

Bibliographic Details
Main Authors: Yang Tan, Run Liu, Jia‐wen Xue, Zhenbo Feng
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:Cancer Medicine
Subjects:
artificial intelligence
colorectal cancer
pathological staging
pathomics
nomogram
Online Access:https://doi.org/10.1002/cam4.6947

Internet

https://doi.org/10.1002/cam4.6947

Similar Items