Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images
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Persistent homology for the automatic classification of prostate cancer aggressiveness in histopathology images
In this study, we present an automated approach to classify prostate cancer (PCa) whole slide images (WSIs) as high or low cancer aggressiveness using features derived from persistent homology, a tool of topological data analysis (TDA). This extends previous work on the use of these features for representing the characteristics of prostate ...
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