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

Anita C ChandrasekaranZhicheng FuReid KraniskiF Perry WilsonShannon TeawMichelle ChengAnnie WangShangping RenImran M OmarMonique E Hinchcliff

Published in: Arthritis research & therapy (2021)

We demonstrate that CNN quantification has a high degree of correlation with expert radiologist measurement of finger CC area measurements. Future work will include segmentation of 3-dimensional (3D) images for volumetric and density quantification, as well as validation in larger, independent cohorts.

Keyphrases

systemic sclerosis
convolutional neural network
computed tomography
deep learning
dual energy
interstitial lung disease
image quality
optical coherence tomography
rheumatoid arthritis