NDLI: Breast cancer image classification based on a Complex Event Processing engine

Content Provider	IEEE Xplore Digital Library
Author	Velandia-Briñez, C.D. Don, S. Na-Yun Cho Eunmi Choi Dugki Min
Copyright Year	2010
Description	Author affiliation: School of Business IT, Kookmin University, Jeongneung-dong, Seongbuk-gu, Seoul, 136-792, Korea (Eunmi Choi) \|\| School of Computer Science and Engineering, Konkuk University, Hwayang-dong, Gwangjin-gu, Seoul, 133-701, Korea (Velandia-Briñez, C.D.; Don, S.; Na-Yun Cho; Dugki Min)
Abstract	This paper proposes a classification method based on Complex Event Processing (CEP) for mammogram images. For breast cancer detection and early prevention, several factors must be considered. Mammogram is important and effective in breast cancer diagnosis. The Radiologist must analyze visually, based on his expertise, to determine whether it is cancer or not. We explore the use of CEP for breast cancer image classification and information enrichment. The results reveal that the application of event processing techniques improves the classification of images in the medical domain. The proposed system performs efficiently and timed-lined to help the Radiologist to make a more accurate assessment.
Starting Page	60
Ending Page	64
File Size	803082
Page Count	5
File Format	PDF
ISBN	9781424469826
e-ISBN	9788988678176
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-11
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	AICIT
Subject Keyword	Supply chain management CAD Financial management Cancer detection Mammogram Breast cancer Information filtering Event Processing Data mining Engines Technology management Breast neoplasms Image classification
Content Type	Text
Resource Type	Article

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