Computer-Aided Prostate Cancer Diagnosis: Principles, Recent Advances, and Future Prospective
Clara M. Mosquera-Lopez; Sos S. Agaian; Alejandro Velez-Hoyos; Ian Thompson
DOI: 10.1117/3.1002311.ch9
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Excerpt

9.1 Introduction9.2 Clinical Approach for Prostate Cancer Detection and Grading9.2.1 Core needle biopsy9.2.2 Digital pathology imaging9.3 State-of-the-Art in Histopathology-Image-Based, Computer-Aided Prostate Cancer Diagnosis9.3.1 Image preprocessing9.3.1.1 Color normalization9.3.1.2 Histopathology image segmentation9.3.2 Feature extraction9.3.3 Classification9.3.4 System accuracy assessment9.3.4.1 Performance indicators9.4 Conclusions, Future Directions, and Potential New StrategiesReferences

© 2013 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)

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