Image classification by fusion for high-content cell-cycle screening

Pham, Tuan, and Tran, Dat T. (2006) Image classification by fusion for high-content cell-cycle screening. In: Proceedings of KES 2006 10th International Conference (4251), pp. 524-531. From: KES 2006 10th International Conference, 9-11 October 2006, Bournemouth, UK.

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Abstract

We present a fuzzy fusion approach for combining cell-phase identification results obtained from multiple classifiers. This approach can improve the classification rates and allows the task of high-content cell-cycle screening more effective for biomedical research in the study of structures and functions of cells and molecules. Conventionally such study requires the processing and analysis of huge amounts of image data, and manual image analysis is very time consuming, thus costly, and also potentially inaccurate and poorly reproducible. The proposed method has been used to combine the results from three classifiers, and the combined result is superior to any of the results obtained from a single classifier.

Item ID: 4351
Item Type: Conference Item (Refereed Research Paper - E1)
Keywords: bioimaging; information fusion
ISBN: 978-3-540-46535-5
ISSN: 1611-3349
Date Deposited: 18 Nov 2009 05:27
SEO Codes: 92 HEALTH > 9202 Health and Support Services > 920203 Diagnostic Methods @ 34%
92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920412 Preventive Medicine @ 33%
92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920102 Cancer and Related Disorders @ 33%
Citation Count from Web of Science Web of Science 2
Downloads: Total: 2
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