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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Detalhes bibliográficos

Principais autores:	Anita C. Chandrasekaran, Zhicheng Fu, Reid Kraniski, F. Perry Wilson, Shannon Teaw, Michelle Cheng, Annie Wang, Shangping Ren, Imran M. Omar, Monique E. Hinchcliff
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2021-01-01
coleção:	Arthritis Research & Therapy
Assuntos:	Systemic sclerosis Scleroderma Calcinosis cutis Computer vision Convolutional neural networks (CNN) Dystrophic calcifications
Acesso em linha:	https://doi.org/10.1186/s13075-020-02392-9
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