Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification

Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification

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Introduction: The advent of digital slides offers new opportunities within the practice of pathology such TROUSERS JEANS as the use of image analysis techniques to facilitate computer aided diagnosis (CAD) solutions.Use of CAD holds promise to enable new levels of decision support and allow for additional layers of quality assurance and consistency in rendered diagnoses.However, the development and testing of prostate cancer CAD solutions requires a ground truth map of the cancer to enable Vanity Set the generation of receiver operator characteristic (ROC) curves.

This requires a pathologist to annotate, or paint, each of the malignant glands in prostate cancer with an image editor software - a time consuming and exhaustive process.