Statistical shape model for manifold regularization: Gleason grading of prostate histology

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Statistical shape model for manifold regularization: Gleason grading of prostate histology

Gleason patterns of prostate cancer histopathology, characterized primarily by morphological and architectural attributes of histological structures (glands and nuclei), have been found to be highly correlated with disease aggressiveness and patient outcome. Gleason patterns 4 and 5 are highly correlated with more aggressive disease and poorer patient outcome, while Gleason patterns 1-3 tend to...

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Gleason Grading of Prostate Histology Utilizing Manifold Regularization via Statistical Shape Model of Manifolds

Gleason patterns of prostate cancer histopathology, characterized primarily by morphological and architectural attributes of histological structures (glands and nuclei), have been found to be highly correlated with disease aggressiveness and patient outcome. Gleason patterns 4 and 5 are highly correlated with more aggressive disease and poorer patient outcome, while Gleason patterns 1-3 tend to...

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Automated Prostate Cancer Diagnosis and Gleason Grading of Tissue Microarrays

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Interobserver variability in Gleason histological grading of prostate cancer.

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ژورنال

عنوان ژورنال: Computer Vision and Image Understanding

سال: 2013

ISSN: 1077-3142

DOI: 10.1016/j.cviu.2012.11.011