An image feature approach for computer-aided detection of ischemic stroke

Authors:
Fuk-hay Tang;Douglas K. S. Ng;Daniel H. K. Chow
Affiliations:
The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong;The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong;The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hung Hum, Kowloon, Hong Kong
Venue:
Computers in Biology and Medicine
Year:
2011

Citing 4
Cited 0

Computer-Aided Thyroid Nodule Detection in Ultrasound Images

CBMS '05 Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems
Improved early stroke detection: Wavelet-based perception enhancement of computerized tomography exams

Computers in Biology and Medicine
A simple genetic algorithm for tracing the deformed midline on a single slice of brain CT using quadratic Bézier curves

ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
Towards a computer-aided diagnosis system for vocal cord diseases

Artificial Intelligence in Medicine

Quantified Score

Hi-index	0.00

Visualization

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