most citedMachine-learning-based Classification of Lower-grade gliomas and High-grade gliomas using Radiomic Features in Multi-parametric MRI

6 citations · 6 across the 1 of their papers we have counts for

collaborators

1 paper

physics.med-ph2019★ 6 cited

Machine-learning-based Classification of Lower-grade gliomas and High-grade gliomas using Radiomic Features in Multi-parametric MRI

Ge Cui, Jiwoong Jeong, Bob Press +6

Objectives: Glioblastomas are the most aggressive brain and central nervous system (CNS) tumors with poor prognosis in adults. The purpose of this study is to develop a machine-lea…