Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/42987
Title: An image feature approach for computer-aided detection of ischemic stroke
Authors: Tang, FH
Ng, KS
Chow, HK
Keywords: Image feature
Ischemic stroke
Computer-aided detection
Adaptive region of interest
Issue Date: 2011
Publisher: Pergamon Press
Source: Computers in biology and medicine, 2011, v. 41, no. 7, p. 525-536 How to cite?
Journal: Computers in biology and medicine 
Abstract: We present a computer-aided detection (CAD) scheme for early detection of ischemic stroke with small lesions using image feature characteristics. A novel Circular Adaptive Region of Interest (CAROI) method is proposed to analyze the Computed Tomography (CT) images of the brain. Our result indicates that for the emergency physicians and radiology residents, there is a significant improvement in sensitivity and specificity when using CAD (P<0.005). A mathematical model is established incorporating the weighting of the feature changes. Our CAD scheme is promising for early detection of ischemic stroke and helps improve the efficiency and accuracy of clinical practice.
URI: http://hdl.handle.net/10397/42987
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2011.05.001
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