Improved Glioma Grading Using Deep Convolutional Neural Networks.

S Gutta Jay Acharya Mark S Shiroishi Darryl H Hwang Krishna Shrinivas Nayak

Published in: AJNR. American journal of neuroradiology (2020)

Convolutional neural networks are able to learn discriminating features automatically, and these features provide added value for grading gliomas. The proposed framework may provide substantial improvement in glioma-grade prediction; however, further validation is needed.

Keyphrases

convolutional neural network
deep learning
high grade
machine learning