Digital pathology and computational image analysis in nephropathology

• Published in: Nature reviews. Nephrology Vol. 16; no. 11; pp. 669 - 685
• Main Authors: Barisoni, Laura, Lafata, Kyle J, Hewitt, Stephen M, Madabhushi, Anant, Balis, Ulysses G J
• Format: Journal Article
• Language: English
• Published: England Nature Publishing Group 01.11.2020
• Subjects: Disease; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted - trends; Kidney Diseases - diagnostic imaging; Kidney Diseases - pathology; Machine Learning; Nephrology - trends; Pathology; Precision Medicine; Vision systems

The emergence of digital pathology - an image-based environment for the acquisition, management and interpretation of pathology information supported by computational techniques for data extraction and analysis - is changing the pathology ecosystem. In particular, by virtue of our new-found ability...