TY - JOUR AU - Zhang, Junjie AU - Khalvati, Farzad AU - Wong, Alexander AU - Haider, Masoom A. PY - 2015/10/30 Y2 - 2024/03/29 TI - Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging JF - Journal of Computational Vision and Imaging Systems JA - J. Comp. Vis. Imag. Sys. VL - 1 IS - 1 SE - Articles DO - 10.15353/vsnl.v1i1.63 UR - https://openjournals.uwaterloo.ca/index.php/vsl/article/view/VL107 SP - AB - 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. ER -