Deep Learning-based Approach for Automated Assessment of Interstitial Lung Disease in Systemic Sclerosis on CT Images.
Guillaume ChassagnonMaria VakalopoulouAlexis RégentEvangelia I ZacharakiGalit AviramCharlotte MartinRafael MariniNorbert BusNaïm JerjirArsène MekinianThong Hua-HuyLaurence Monnier-CholleyNouria BenmostefaLuc MouthonAnh-Tuan Dinh-XuanNikos ParagiosMarie-Pierre RevelPublished in: Radiology. Artificial intelligence (2020)
The developed algorithm performed similarly to radiologists for disease-extent contouring, which correlated with pulmonary function to assess CT images from patients with SSc-related ILD.Supplemental material is available for this article.© RSNA, 2020.
Keyphrases
- deep learning
- interstitial lung disease
- systemic sclerosis
- artificial intelligence
- convolutional neural network
- image quality
- dual energy
- computed tomography
- contrast enhanced
- machine learning
- rheumatoid arthritis
- idiopathic pulmonary fibrosis
- positron emission tomography
- weight loss
- magnetic resonance imaging
- high throughput