For Accurate, Rapid And Reproducible Analysis Of Prostate Cancer
Prostate cancer is the most prevalent form of cancer and the second most common cause of death among men in the United States.
Visual Gleason Grading system assessment of histological specimens remains one of the most powerful prognostic predictors in prostate cancer. However, the histological assessment by pathologists of these tissue slides to evaluate the morphological patterns is often time-consuming and suffers from limited reproducibility. We hereby present a deep learning approach for automated Gleason grading of prostate cancer on digital images with Hematoxylin and Eosin (H&E) staining to overcome the above mentioned challenges and deliver reproducible results in a more objective manner.
Our Solutions To Resolve The Challenges Appearing From Gleason Grading
Easily retrainable machine learning system.
High classification accuracy.