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Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies

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1 Published in 2017 at "Scientific Reports"

DOI: 10.1038/s41598-017-12569-z

Abstract: There has been recent substantial interest in extracting sub-visual features from medical images for improved disease characterization compared to what might be achievable via visual inspection alone. Features such as Haralick and Gabor can provide… read more here.

Keywords: discriminative scale; prostate cancer; scale learning; approach ... See more keywords