Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging
AbstractThis 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, to detectprostate cancers from dMRI modalities. Experimental resultsshowthe feasibility of the proposed superpixel-based approach with improved computation efficiency and detection accuracy.
How to Cite
Zhang, J., Khalvati, F., Wong, A., & Haider, M. (2015). Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging. Journal of Computational Vision and Imaging Systems, 1(1). https://doi.org/10.15353/vsnl.v1i1.63