Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning-Reference-Cited by-同舟云学术

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Overall survival prediction in glioblastoma multiforme patients from volumetric, shape and texture features using machine learning

Published:2018-12 Issue:4 Volume:27 Page:709-714
ISSN:0960-7404
Container-title:Surgical Oncology
language:en
Short-container-title:Surgical Oncology

Author:

Sanghani Parita,Ang Beng Ti,King Nicolas Kon Kam,Ren Hongliang

Funder

Singapore Academic Research Fund

NUSRI China Jiangsu Provincial Grant

NMRC Bedside Bench

Singapore Ministry of Health’s National Medical Research Council

Publisher

Elsevier BV

Subject

Oncology,Surgery

Reference22 articles.

1. A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival;Lacroix;J. Neurosurg.,2001

2. Alternative lengthening of telomeres and survival in patients with glioblastoma multiforme;Hakin-Smith;Lancet,2003

3. Glioblastoma survival in the United States before and during the temozolomide era;Johnson;J. Neuro Oncol.,2012

4. Identifying spatial imaging biomarkers of glioblastoma multiforme for survival group prediction;Zhou;J. Magn. Reson. Imag.,2017

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