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Article

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.

IEEE transactions on medical imaging - 1 Jun 2020

Tang Zhenyu, Xu Yuyun, Jin Lei, Aibaidula Abudumijiti, Lu Junfeng, Jiao Zhicheng, Wu Jinsong, Zhang Han, Shen Dinggang

Abstract excerpt

Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For personalized treatment, an accurate pre-operative prognosis for GBM patients is highly desired. Recently, many machine learning-based methods have been adopted to predict overall survival (OS) time based on the pre-operative mono- or multi-modal imaging phenotype. The genotypic information of GBM has been proven to be strongly indicative...

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Identifiers

PMID: 31905135
DOI: 10.1109/TMI.2020.2964310
PMCID: PMC7289674

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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