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

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

Abstract Background Skin fibrosis is the clinical hallmark of systemic sclerosis (SSc), where collagen deposition and remodeling of the dermis occur over time. The most widely used outcome measure in SSc clinical trials is the modified Rodnan skin score (mRSS), which is a semi-quantitative assessmen...

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Bibliographic Details
Main Authors: Chase Correia, Seamus Mawe, Shane Lofgren, Roberta G. Marangoni, Jungwha Lee, Rana Saber, Kathleen Aren, Michelle Cheng, Shannon Teaw, Aileen Hoffmann, Isaac Goldberg, Shawn E. Cowper, Purvesh Khatri, Monique Hinchcliff, J. Matthew Mahoney
Format: Article
Language:English
Published: BMC 2020-03-01
Series:Arthritis Research & Therapy
Subjects:
Computer vision
Systemic sclerosis
Scleroderma
Histology
Modified Rodnan skin score
Outcomes
Online Access:http://link.springer.com/article/10.1186/s13075-020-2127-0

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http://link.springer.com/article/10.1186/s13075-020-2127-0

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