Brain tumor data now available on EBRAINS

The World Health Organization defines over 100 different types of brain tumor. This large amount can make it difficult for clinicians to diagnose the precise type of brain tumor a patient may have. There is growing interest in supporting diagnosis with artificial intelligence methods – such as machine learning – which can analyze a tumor’s histological appearance.

This approach calls for a large number of accessible digital histopathological datasets. An international team of researchers has taken the first step by digitizing a substantial portion of a dedicated brain tumor bank based at the Division of Neuropathology and Neurochemistry of the Medical University of Vienna. The bank contains brain tumor data from cases – each with their own clinical annotations – recorded between 1995 and 2019.

The data has been uploaded to EBRAINS and made accessible to the scientific community. The data is sorted by diagnostic tumor type (in alphabetical order) for easy access, and is available here.