Can machine learning detect specific types of brain tumor?

Written by Ryan Gilroy (Future Science Group)

A Mallinckrodt Institute of Radiology, Washington University School of Medicine (MO, USA) research team have developed a deep learning model capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.

The study published in Radiology: Artificial Intelligence utilized machine and deep learning approaches alongside MRI data, which can potentially automate the detection and classification of brain tumors.

“This is the first study to address the most common intracranial tumors and to directly determine the tumor class or the absence of tumor from a 3D MRI volume,” commented lead author of the study, Satrajit Chakrabarty (Washington University School of Medicine).

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