Work

Multicenter study to demonstrate radiomic texture features derived from MR perfusion images of pseudoprogression compared to true progression in glioblastoma patients.

Year: 2017

Type: conference-abstract

Source: Journal of Clinical Oncology

DOI: 10.1200/jco.2017.35.15_suppl.2016

Authors: Nabil Elshafeey, Aikaterini Kotrotsou, Dunia Giniebra Camejo, Srishti Abrol, Islam Hassan, Kamel El Salek, Ahmed Hassan, Ahmed Shaaban, Samuel Bergamaschi, Fanny E Moron, Meng Law, Pascal Zinn, Rivka R. Colen

Institutions: The University of Texas MD Anderson Cancer Center, University of Southern California, Baylor College of Medicine

Language: English

Topic: Radiomics and Machine Learning in Medical Imaging

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W2648545559

Cites:

Cited by: 11

Related to: 10