Paper
12 May 2004 A computerized scheme of SARS detection in early stage based on chest image of digital radiograph
Zhong Zheng, Rihui Lan, Guozheng Lv
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhong Zheng, Rihui Lan, and Guozheng Lv "A computerized scheme of SARS detection in early stage based on chest image of digital radiograph", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.535232
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Cited by 1 scholarly publication.
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KEYWORDS
Synthetic aperture radar

Lung

Chest imaging

Radiography

Photons

Digital imaging

Binary data

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