Using whole-slide hematoxylin and eosin images from 214 patients with glioblastoma in The Cancer Genome Atlas (TCGA), a fine-tuned convolutional neural network model extracted deep learning features.

The Deep Learning Toolbox supports convolutional neural networks (CNNs) and long short-term memory (LSTM) networks for classification and regression on image, time-series, and text data.