Abstract
The accurate segmentation of pectoral muscle in mammograms is necessary to detect breast abnormalities in computer-aided diagnosis (CAD) of breast cancer. Based on morphological characteristics of pectoral muscle, a corner detector and the Maximum Intensity Change (MIC) algorithm were proposed in this research to detect the edge of pectoral muscle. The initial result shows that the proposed approach detected pectoral muscle with high quality.
Original language | English |
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Title of host publication | Research and Development in Intelligent Systems XXVII |
Subtitle of host publication | Incorporating Applications and Innovations in Intelligent Systems XVIII Proceedings of AI-2010, The Thirtieth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence |
Editors | Max Bramer, Miltos Petridis, Adrian Hopgood |
Publisher | Springer |
Pages | 489-494 |
Number of pages | 6 |
Edition | 1 |
ISBN (Electronic) | 9780857291301 |
ISBN (Print) | 9780857291295 |
DOIs | |
Publication status | Published - 1 Dec 2011 |
Event | 30th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence - Cambridge, United Kingdom Duration: 14 Dec 2010 → 16 Dec 2010 Conference number: 30 |
Conference
Conference | 30th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence |
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Abbreviated title | AI 2010 |
Country/Territory | United Kingdom |
City | Cambridge |
Period | 14/12/10 → 16/12/10 |