Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis

Computer vision applied to dual-energy computed tomography images for precise calcinosis cutis quantification in patients with systemic sclerosis

Abstract Background Although treatments have been proposed for calcinosis cutis (CC) in patients with systemic sclerosis (SSc), a standardized and validated method for CC burden quantification is necessary to enable valid clinical trials. We tested the hypothesis that computer vision applied to dual...

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Bibliographic Details
Main Authors: Anita C. Chandrasekaran, Zhicheng Fu, Reid Kraniski, F. Perry Wilson, Shannon Teaw, Michelle Cheng, Annie Wang, Shangping Ren, Imran M. Omar, Monique E. Hinchcliff
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Arthritis Research & Therapy
Subjects:
Systemic sclerosis
Scleroderma
Calcinosis cutis
Computer vision
Convolutional neural networks (CNN)
Dystrophic calcifications
Online Access:https://doi.org/10.1186/s13075-020-02392-9

Internet

https://doi.org/10.1186/s13075-020-02392-9

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