title: Combination of texture and shape features to detect pulmonary abnormalities in digital chest X-rays.
abstract: OBJECTIVE
  To improve detection of pulmonary and pleural abnormalities caused by pneumonia or tuberculosis (TB) in digital chest X-rays (CXRs).
  
  
  METHODS
  A method was developed and tested by combining shape and texture features to classify CXRs into two categories: TB and non-TB cases. Based on observation that radiologist interpretation is typically comparative: between left and right lung fields, the algorithm uses shape features to describe the overall geometrical characteristics of the lung fields and texture features to represent image characteristics inside them.
  
  
  RESULTS
  Our algorithm was evaluated on two different datasets containing tuberculosis and pneumonia cases.
  
  
  CONCLUSIONS
  Using our proposed algorithm, we were able to increase the overall performance, measured as area under the (ROC) curve (AUC) by 2.4 % over our previous work.
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA. akarargyris@gmail.com.
authors.forename: Alexandros
authors.initials: A
authors.lastname: Karargyris
authors.affiliation: Division of Emergency Radiology, Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA.|Center for Evidence Based Imaging, Harvard Medical School, Boston, MA, USA.
authors.forename: Jenifer
authors.initials: J
authors.lastname: Siegelman
authors.affiliation: Ugeianet Diagnostic Center, General Hospital of Athens KAT, Athens, Greece.
authors.forename: Dimitris
authors.initials: D
authors.lastname: Tzortzis
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Stefan
authors.initials: S
authors.lastname: Jaeger
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Sema
authors.initials: S
authors.lastname: Candemir
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Zhiyun
authors.initials: Z
authors.lastname: Xue
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: K C
authors.initials: KC
authors.lastname: Santosh
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Szilárd
authors.initials: S
authors.lastname: Vajda
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Sameer
authors.initials: S
authors.lastname: Antani
authors.affiliation: Radiology Department, Clinical Center, National Institutes of Health, Bethesda, MD, USA.
authors.forename: Les
authors.initials: L
authors.lastname: Folio
authors.affiliation: Communications Engineering Branch, Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
authors.forename: George R
authors.initials: GR
authors.lastname: Thoma
mesh_terms: D000465:Algorithms; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging*; D011014:Pneumonia / Q000000981:diagnostic imaging*; D013902:Radiography, Thoracic / Q000379:methods*; D014376:Tuberculosis / Q000000981:diagnostic imaging*
keywords: Remote; Screen; Software; Telemedicine; Tuberculosis