Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imaging
Yunyan Zhang, Daphne Hong, Daniel G. McClement, Olayinka Oladosu, Glen Pridham, Garth Slaney
Topics & Concepts
InterpretabilityArtificial intelligenceConvolutional neural networkDiscriminative modelPattern recognition (psychology)Computer scienceVoxelDeep learningNeuroimagingFunctional magnetic resonance imagingMagnetic resonance imagingGeneralizability theoryMachine learningNeuroscienceMedicinePsychologyRadiologyDevelopmental psychologyMultiple Sclerosis Research StudiesBrain Tumor Detection and ClassificationEpilepsy research and treatment