Prognostic prediction of gastric cancer based on H&E findings and machine learning pathomics

Prognostic prediction of gastric cancer based on H&E findings and machine learning pathomics

Aim: In this research, we aimed to develop a model for the accurate prediction of gastric cancer based on H&E findings combined with machine learning pathomics. Methods: Transcriptome data, pathological images, and clinical data from 443 cases were retrieved from TCGA (The Cancer Genome Atlas Pr...

Full description

Saved in:
Bibliographic Details
Main Authors: Guoda Han, Xu Liu, Tian Gao, Lei Zhang, Xiaoling Zhang, Xiaonan Wei, Yecheng Lin, Bohong Yin
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Molecular and Cellular Probes
Subjects:
Pathological condition
Gastric cancers
Regulatory T Lymphocytes
Online Access:http://www.sciencedirect.com/science/article/pii/S0890850824000355
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S0890850824000355

Similar Items