Improved Glioma Grading Using Deep Convolutional Neural Networks
Editor’s Choice Convolutional neural networks are able to learn discriminating features automatically, and these features provide added value for grading gliomas.
Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
Editor’s Choice MR imaging data and molecular information were retrospectively obtained from The Cancer Imaging Archives for 259 patients with either low- or high-grade gliomas. A convolutional neural network was trained to classify IDH1 mutation status, 1p/19q codeletion, and MGMT promotor methylation status. Classification
