Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI

Author:

Le Nguyen Quoc KhanhORCID,Hung Truong Nguyen Khanh,Do Duyen Thi,Lam Luu Ho Thanh,Dang Luong Huu,Huynh Tuan-Tu

Funder

Taipei Medical University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference50 articles.

1. Glioblastoma multiforme: a review of its epidemiology and pathogenesis through clinical presentation and treatment;Hanif;Asian Pac. J. Cancer Prev. APJCP,2017

2. Epidemiologic and molecular prognostic review of glioblastoma;Thakkar;Cancer Epidemiol. Biomark. Prev.,2014

3. Glioblastoma survival in the United States improved after Food and Drug Administration approval of bevacizumab: a population-based analysis;Johnson;Cancer,2013

4. A review of original articles published in the emerging field of radiomics;Song;Eur. J. Radiol.,2020

5. Radiomics: the bridge between medical imaging and personalized medicine;Lambin;Nat. Rev. Clin. Oncol.,2017

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