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

IEEE Transactions on Medical Imaging(2020)

引用 59|浏览166
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摘要
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 stro...
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关键词
Tumors,Magnetic resonance imaging,Genomics,Bioinformatics,Feature extraction,Task analysis,Prognostics and health management
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