Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence

Whole slide image based prognosis prediction in rectal cancer using unsupervised artificial intelligence

Abstract Background Rectal cancer is a common cancer worldwide and lacks effective prognostic markers. The development of prognostic markers by computational pathology methods has attracted increasing attention. This paper aims to construct a prognostic signature from whole slide images for predicti...

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Bibliographic Details
Main Authors: Xuezhi Zhou, Jing Dai, Yizhan Lu, Qingqing Zhao, Yong Liu, Chang Wang, Zongya Zhao, Chong Wang, Zhixian Gao, Yi Yu, Yandong Zhao, Wuteng Cao
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Cancer
Subjects:
Rectal cancer
Unsupervised learning
Whole slide image
Prognosis prediction
Bioinformatics
Online Access:https://doi.org/10.1186/s12885-024-13292-5

Internet

https://doi.org/10.1186/s12885-024-13292-5

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