Superpixel-based Prostate Cancer Detection from Diffusion Magnetic Resonance Imaging

  • Junjie Zhang
  • Farzad Khalvati
  • Alexander Wong
  • Masoom A. Haider

Abstract

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.
Published
2015-10-30
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
Section
Articles