Chest X-Ray Analysis for Computer-Aided Diagnostic

Kim-Thang Le

Research output: A Conference proceeding or a Chapter in BookConference contribution

4 Citations (Scopus)

Abstract

X-ray is a classical method for diagnosis of some chest diseases. The diseases are curable if they are detected in their early stages. Detection of chest diseases is mostly based on chest X-ray images (CXR). This is a time consuming process. In some cases, medical experts had overlooked the diseases in their first examinations on CXR, and when the images were re-examined, the disease signs could be detected. Furthermore, the number of CXR to examine is numerous and far beyond the capability of available medical staff, especially in developing countries.

A computer-aided diagnosis (CAD) system can mark prospected areas on CXR for careful examination by medical doctors, and can give alarm in the cases that need urgent attention.

This paper reports our continuous work on the development of a CAD system. Some preliminary results for detection of early symptoms of some chest diseases like tuberculosis, cancer, lung collapse, heart failure, etc. are presented
Original languageEnglish
Title of host publicationInternational Conference on Computer Science and Information Technology-CCSIT 2011
EditorsN Megthanathan, B.K Kaushik, D Nagamalai
Place of PublicationGermany
PublisherSpringer
Pages300-309
Number of pages10
Volume133
ISBN (Electronic)9783642178818
ISBN (Print)9783642178801
DOIs
Publication statusPublished - 2011
EventFirst International Conference on Computer Science and Information Technology-CCSIT 2011 - Bangalore, India
Duration: 2 Jan 20114 Jan 2011

Conference

ConferenceFirst International Conference on Computer Science and Information Technology-CCSIT 2011
CountryIndia
CityBangalore
Period2/01/114/01/11

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  • Cite this

    Le, K-T. (2011). Chest X-Ray Analysis for Computer-Aided Diagnostic. In N. Megthanathan, B. K. Kaushik, & D. Nagamalai (Eds.), International Conference on Computer Science and Information Technology-CCSIT 2011 (Vol. 133, pp. 300-309). Springer. https://doi.org/10.1007/978-3-642-17881-8_29