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An evaluation of image descriptors combined with clinical data for breast cancer diagnosis
2013
International Journal of Computer Assisted Radiology and Surgery
Purpose Breast cancer computer-aided diagnosis (CADx) may utilize image descriptors, demographics, clinical observations, or a combination. CADx performance was compared for several image features, clinical descriptors (e.g. age and radiologist's observations), and combinations of both kinds of data. A novel descriptor invariant to rotation, histograms of gradient divergence (HGD), was developed to deal with round-shaped objects, such as masses. HGD was compared with conventional CADx features.
doi:10.1007/s11548-013-0838-2
pmid:23580025
fatcat:jgjcprqrtfdfhk33gpdm3dzlli