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has been cited by the following article:

• TITLE: Automatic Detection of Airways in CT Scans of Cystic Fibrosis Patients

  AUTHORS: T. Chaudhuri, B. Gong, S. Krueger-Ziolek, B. Schullcke, K. Moeller

  KEYWORDS: Cystic Fibrosis, Computed Tomography, Lung Segmentation, 2D Airway Segmentation

  JOURNAL NAME: Journal of Biomedical Science and Engineering, Vol.9 No.10B, September 23, 2016

  ABSTRACT: This paper describes a prototype of an automatic system for the detection and evalua-tion of airways of Cystic Fibrosis (CF) patients from Computed Tomography (CT) Scans. The aim of the study is to present a prototype of an automatic system which could serve as a decision support for radiologists. The area percentages of airway in lung regions have been calculated in CT slices to represent Bronchiectasis stages of CF patients. The proposed automatic system has been tested on a dataset comprising of four CF patients belonging to different stages of Bronchiectasis.