Brain Tumour Detection

Diagnosis has a simple business problem hiding inside a clinical one: nobody wants a black box that is confident for the wrong reason. That is especially true in medical imaging. A brain MRI classifier that says “tumour” or “non-tumour” is not automatically useful because it crosses a respectable accuracy threshold. The difficult question comes next: did the model look at the clinically relevant region, or did it discover some convenient artefact in the image pipeline? A single heatmap may answer that question. It may also merely look persuasive, which is not quite the same thing. Medicine, regrettably, is one of those domains where aesthetic confidence is still not a validation method. ...