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Proceedings Paper

A computerized scheme of SARS detection in early stage based on chest image of digital radiograph
Author(s): Zhong Zheng; Rihui Lan; Guozheng Lv
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Paper Abstract

A computerized scheme for early severe acute respiratory syndrome(SARS) lesion detection in digital chest radiographs is presented in this paper. The total scheme consists of two main parts: the first part is to determine suspect lesions by the theory of locally orderless images(LOI) and their spatial features; the second part is to select real lesions among these suspect ones by their frequent features. The method we used in the second part is firstly developed by Katsuragawa et al with necessary modification. Preliminary results indicate that these features are good criterions to tell early SARS lesions apart from other normal lung structures.

Paper Details

Date Published: 12 May 2004
PDF: 11 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.535232
Show Author Affiliations
Zhong Zheng, E-Com Technology Ltd. (China)
Rihui Lan, Guangzhou Medical College (China)
Guozheng Lv, E-Com Technology Ltd. (China)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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