In accordance with some embodiments, systems, methods, and media for automatically diagnosing IPMNs using multi-modal MRI data are provided. In some embodiments, a system comprises: an MRI scanner; and a processor programmed to: prompt a user to select a slice of T1 and T2 MRI data including the subject's pancreas; generate minimum and maximum intensity projections based consecutive slices of the T1 and T2 MRI data; provide the projections to an image recognition CNN, and receive feature vectors for each from a fully connected layer; perform a canonical correlation analysis to determine correlations between the feature vectors; and provide a resultant vector to an SVM that determines whether the subject's pancreas includes IPMNs based on a vector.
Systems, methods, and media for automatically diagnosing intraductal papillary mucinous neosplasms using multi-modal magnetic resonance imaging data