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Article

Deep Learning Can Predict the Overall Survival of Cervical Cancer Based on Histopathological Image, Gene Mutation and Clinical Information.

IET systems biology - 1 Jan 2026

Shen Jie, Miao Zheng, Wang Lixia, Huo Zhen, Lu Tao, Liang Yuebin, Ji Binbin, Xi ShuXue, Tian Geng, Yang Jialiang, Zhang Fuquan

Abstract excerpt

The fusion of data features from different modes, such as pathology images and sequence data, has the potential to predict the overall survival (OS) of patients with cervical cancer. This study aims to develop a novel prediction model for overall survival (OS) that incorporates pathology images, clinical data and molecular data. The model underwent training using comprehensive cervical cancer data from The Cancer...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 41902378
DOI: 10.1049/syb2.70060
PMCID: PMC13140756

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CALCR
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