Automatic Pathology Software for Diagnosis of Non-Alcoholic Fatty Liver Disease
Automatic – Supervised machine learning to automatically learn rules for classification of white regions Multiple Applications – Can be used in quantification of steatosis grade, rapid assessment of candidate donor livers in the transplant setting, and biopsy index database search Faster – Quicker classification of biopsies More accurate – Minimizes variability observed in diagnosed made by human pathologists
The invention is a supervised machine learning approach for automatically classifying “white-regions” of liver biopsies into 1 of 7 categories, thus providing an important decision support system for pathologists. White-region classification can be applied in multiple analyses performed on liver biopsies, with assessment of steatosis (fat) grade (SG) perhaps being the most direct.
Non-Confidential Summary
美国
