Ready-to-use, fast, consistent and automated algorithm
An intelligent and insightful digital pathology solution requires image analysis tools that empower pathologists to confidently and objectively assess whole tissue slide images. The uPath Ki-67 (30-9) image analysis for breast cancer algorithm is an adjunctive computer-assisted tool that identifies Ki-67-negative and Ki-67-positive stained tumor cell nuclei within a pathologist annotated viable tumor region in images of formalin-fixed, paraffin-embedded neoplastic breast tissue captured on VENTANA whole slide scanners.
Validated on the CONFIRM™ Ki-67 (30-9) Assay for use within Roche uPath enterprise software.
Pathologist trained deep learning algorithm for quick image analysis of Ki-67 tumor cell nuclei positivity.
Actionable assessment of scanned slide images that are objective and reproducible.
For research use only. Not for use in diagnostic procedures.