Machine learning approaches to study glioblastoma: A review of the last decade of applications-Reference-Cited by-同舟云学术

Machine learning approaches to study glioblastoma: A review of the last decade of applications

Published:2019-12 Issue:6 Volume:2 Page:
ISSN:2573-8348
Container-title:CANCER REPORTS
language:en
Short-container-title:Cancer Reports

Author:

Valdebenito Jessica¹^ORCID,Medina Felipe¹²^ORCID

Affiliation:

1. Programa de Bioestadística, Escuela de Salud PúblicaUniversidad de Chile Santiago Chile

2. Instituto de Estadística, Facultad de CienciasUniversidad de Valparaíso Valparaíso Chile

Funder

Comisión Nacional de Investigación Científica y Tecnológica

Publisher

Wiley

Subject

Cancer Research,Oncology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cnr2.1226

Reference64 articles.

1. Epidemiologic and Molecular Prognostic Review of Glioblastoma

2. Radiotherapy plus Concomitant and Adjuvant Temozolomide for Glioblastoma

3. Glioblastoma: Overview of Disease and Treatment

4. Treatment of Glioblastoma

5. Glioblastoma Multiforme: A Review of its Epidemiology and Pathogenesis through Clinical Presentation and Treatment;Hanif F;Asian Pacific J Cancer Prev,2017

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