Prostate cancer (PCa) is the most commonly diagnosed cancer among men in the United States.
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In this paper, we survey computer aided-diagnosis (CADx) systems that use multiparametric magnetic resonance imaging (MP-MRI) for detection and diagnosis of prostate cancer. We review and list mainstream techniques that are commonly utilized in image segmentation, registration, feature extraction, and classification. The performances of 15 state-of-the-art prostate CADx systems are compared through the area under their receiver operating characteristic curves (AUC). Challenges and potential directions to further the research of prostate CADx are discussed in this paper. Further improvements should be investigated to make prostate CADx systems useful in clinical practice.
Wang S, Burtt K, Turkbey B, Choyke P, Summers RM. Are you the author?
Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Building 10, Room 1C224, Bethesda, MD 20892-1182, USA; Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Building 10, Room B3B69F, Bethesda, MD 20892-1088, USA.
Reference: Biomed Res Int. 2014;2014:789561.