A deep learning algorithm that automates Gleason grading on H&E-stained prostate tissue — delivering objective, reproducible scores to advance prostate cancer research.
OptraSCAN's Prostate Cancer Algorithm applies advanced deep learning to high-resolution H&E-stained whole-slide images, recognizing patterns in tumor architecture and cell morphology to deliver consistent, objective Gleason grades.
Beyond grading, the platform enables precise analysis of biomarkers relevant to prostate cancer — offering critical insights into tumor aggressiveness and potential response to treatment.
High-resolution whole-slide images are captured using OptraSCAN scanners, preserving the cellular detail needed for accurate architectural and morphological analysis at 20× or 40×.
Images undergo automated preprocessing to ensure optimal quality. A region adequacy check confirms tissue suitability before analysis proceeds.
The algorithm performs Gleason grading by recognizing patterns in tumor architecture and cell morphology — classifying tissue regions and assigning grades across the full Gleason spectrum.
Detailed Gleason scores, grade group assignments, and biomarker analysis reports are generated automatically — ready for documentation, review, or further analysis.
Deep learning analyzes H&E-stained whole-slide images to deliver consistent, objective Gleason grades — reducing inter-reader variability and enhancing prognostic accuracy across studies.
Precise analysis of biomarkers relevant to prostate cancer, offering critical insights into tumor aggressiveness and potential response to treatment protocols.
Automated evaluation reduces time and variability associated with manual Gleason grading — delivering reproducible results with significantly reduced workflow burden.
Integrated reporting module streamlines case management and documentation. Structured outputs are ready for publication, review, or downstream computational analysis.
AI-driven Gleason grading and biomarker analysis improve reliability and precision, supporting consistent results across cases, readers, and research sites.
Automated analysis accelerates prostate cancer evaluations, freeing researchers to focus on interpretation and high-level clinical decisions.
The algorithm minimizes subjective variability, ensuring reliable Gleason grading and biomarker assessment that holds up across independent reviews.
OptraSCAN's Prostate Cancer Algorithm is validated through collaborations with leading institutions and clinical experts. Our ongoing research ensures the algorithm meets the highest standards in accuracy, consistency, and applicability — with continuous improvements driven by the latest scientific findings.
The algorithm is built on the same research foundation that earned recognition from the Government of India — validated across 9 hospital sites and 10,000+ patient datasets.
See how automated Gleason grading and biomarker analysis can bring objectivity and speed to your prostate cancer research workflow.
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