Predicting and replacing the pathological Gleason grade with automated gland ring morphometric features from immunofluorescent prostate cancer images
Author:
Affiliation:
1. Icahn School of Medicine at Mount Sinai, Department of Pathology, 1425 Madison Avenue, New York, New York 10029, United States
Publisher
SPIE-Intl Soc Optical Eng
Subject
Radiology, Nuclear Medicine and imaging
Reference25 articles.
1. AUTOMATED GRADING OF PROSTATE CANCER USING ARCHITECTURAL AND TEXTURAL IMAGE FEATURES
2. Gland ring morphometry for prostate cancer prognosis in multispectral immunofluorescence images;Scott,2014
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