Segmentation of Structural Abnormalities in Chronic Lung Diseases
Segmentation of Structural Abnormalities in Chronic Lung Diseases
Lung structural abnormalities are complex, time-consuming, and may lack reproducibility to
 evaluate visually on CT scans. The study's aim is to perform automated recognition of
 structural abnormalities in CT scans of patients with chronic lung diseases by using
 dedicated software.
Three chronic lung diseases will constitute the target of the study, by using retrospective
 data from each lung disease:

 -  Cystic fibrosis

 -  Asthma and COPD

 -  Interstitial lung diseases

 Dedicated algorithms will be developped for each disease condition.
Inclusion Criteria:

 -  Patients with chronic lung disease and clinical examination, pulmonary function test,
 and CT acquired during a routine follow-up

 Exclusion Criteria:

 -  In the Clinical Validation group, patients with exacerbation or part of the other
 groups