High-throughput quantitative histology in systemic sclerosis skin disease using computer vision.

Chase CorreiaSeamus MaweShane LofgrenRoberta G MarangoniJungwha LeeRana SaberKathleen ArenMichelle ChengShannon TeawAileen HoffmannIsaac GoldbergShawn E CowperPurvesh KhatriMonique E Hinchcliff J Matthew Mahoney

Published in: Arthritis research & therapy (2020)

DNN analysis of SSc biopsies is an unbiased, quantitative, and reproducible outcome that is associated with validated SSc outcomes.

Keyphrases

systemic sclerosis
high throughput
interstitial lung disease
high resolution
single cell
machine learning
ultrasound guided
wound healing