A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images

A novel deep learning-based algorithm combining histopathological features with tissue areas to predict colorectal cancer survival from whole-slide images

Abstract Background Many methodologies for selecting histopathological images, such as sample image patches or segment histology from regions of interest (ROIs) or whole-slide images (WSIs), have been utilized to develop survival models. With gigapixel WSIs exhibiting diverse histological appearance...

Full description

Bibliographic Details
Main Authors: Yan-Jun Li, Hsin-Hung Chou, Peng-Chan Lin, Meng-Ru Shen, Sun-Yuan Hsieh
Format: Article
Language:English
Published: BMC 2023-10-01
Series:Journal of Translational Medicine
Subjects:
Deep learning
Cancer survival
Tissue areas
Histopathological features
Whole slide images
Online Access:https://doi.org/10.1186/s12967-023-04530-8

Internet

https://doi.org/10.1186/s12967-023-04530-8

Similar Items