Article

Biologically interpretable multi-task deep learning pipeline predicts molecular alterations, grade, and prognosis in glioma patients

2024-02-20

Abstract excerpt

<title>Abstract</title> <p>Deep learning models have been developed for various predictions in glioma; yet, they were constrained by manual segmentation, task-specific design, or a lack of biological interpretation. Herein, we aimed to develop an end-to-end multi-task deep learning (MDL) pipeline that can simultaneously predict molecular alterations and histological grade (auxiliary tasks), as well as prognosis (...

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Literature Corpus work: e09f682a-f184-5332-b4ef-062bb3cb1bf2
DOI: 10.21203/rs.3.rs-3959220/v1

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