Automatic screening for tuberculosis in chest radiographs: a survey

Quantitative Imaging in Medicine and Surgery

Sameer Antani³  Jenifer Siegelman²  George Thoma³  Sema Candemir³  Stefan Jaeger³  Les Folio¹  Clement J. McDonald³  Alexandros Karargyris³ 

[1] Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD 20892, USAThe William W. Backus Hospital, Norwich, CT 06360, USA;Department of Radiology, Yale University School of Medicine, New Haven, CT 06520, USA;National Library of Medicine, National Institutes of Health, Bethesda, MD 20894, USA;

关键词: Tuberculosis;    computer-aided diagnosis;    automatic screening;    medical imaging;    chest X-rays;   

DOI  :  10.3978/j.issn.2223-4292.2013.04.03

学科分类：外科医学

来源: AME Publications

【 摘 要 】

Tuberculosis (TB) is a major global health threat. An estimated one-third of the world’s population has been exposed to TB, and millions of new infections are occurring every year. The advent of new powerful hardware and software techniques has triggered attempts to develop computer-aided diagnostic systems for TB detection in support of inexpensive mass screening in developing countries. In this paper, we describe the medical background of TB detection in chest X-rays and present a survey of the recent approaches using computer-aided detection. After a thorough research of the computer science literature for such systems or related methods, we were able to identify 16 papers, including our own, written between 1996 and early 2013. These papers show that TB screening is a challenging task and an open research problem. We report on the progress to date and describe experimental screening systems that have been developed.

【 授权许可】

Unknown