Deep learning model automates brain tumor classification

Recently, scientists from the US developed a model capable of classifying numerous intracranial tumour types without the need for a scalpel. The model, called a convolutional neural network (CNN), uses deep learning – a type of machine learning algorithm found in image recognition software – to recognize these tumours in MR images, based on hierarchical features such as location and morphology. The team’s CNN could accurately classify several brain cancers with no manual interaction.

This network is the first step toward developing an artificial intelligence-augmented radiology workflow that can support image interpretation by providing quantitative information and statistics

Read more: