This paper presents a superpixel-basedapproach to detectprostate cancers from diffusion magnetic resonance imaging(dMRI).In this approach,superpixel generatedcandidate regionsare incorporated in thequantitativeradiomics model, MAPS[1], to detectprostate cancers from dMRI modalities. Experimental resultsshowthe feasibility of the proposed superpixel-based approach with improved computation efficiency and detection accuracy.
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