The task of detecting and classifying brain tumors on magnetic resonance imaging (MRI) is currently performed by trained radiologists who can do so with decent confidence in many cases.
However, automating this task would provide immense benefits in terms of patient safety when the automatic detection serves as a second opinion and could support the physician by taking over certain parts of the radiology workflow, thereby making radiologists more efficient which will save time and money.