The Automated Identification of Tissue Pattern in Prostatic Neoplasia
17 May 2012

The diagnosis of prostate cancer is complex and based on many histological observations. PathXL has developed algorithms implementing the use of image texture analysis for the automated identification of tissue abnormalities in low-power scans of prostate histology. In this whitepaper, PathXL’s automated approach to analysis of prostate cancer tissue is described.

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