[MR-guided non-invasive typing of brain gliomas using machine learning].

Gleb V Danilov I N Pronin V V Korolev N G Maloyan E A Ilyushin M A Shifrin R M Afandiev A M Shevchenko T A Konakova S V Shugai A A Potapov

Published in: Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko (2022)

The first results of our study confirmed the fundamental possibility of grading axial contrast-enhanced T1 images according to the 2007 WHO classes using deep learning models.

Keyphrases

contrast enhanced
deep learning
magnetic resonance imaging
diffusion weighted
magnetic resonance
computed tomography
diffusion weighted imaging
convolutional neural network
high grade
machine learning
resting state
blood brain barrier
dual energy