Abstract
Wavelet-based channel energy with low cost and high efficacy is a valuable feature for the differential diagnoses between benign and malignant breast lesions. The new feature is a contour approach that generally suffers from lacking a reliable contour detection algorithm with convincing results due to extreme noise. For investigating a procedure suitable for clinical application, noise resistance capability of the new feature is evaluated in this study. The evaluation system consists of two snake-based contour detection algorithms associated with two pre-processes. These combinations can produce four test datasets of contour sonogram. Classification performance evaluation is based on a probabilistic neural network and a genetic algorithm used for distribution parameter determination.
Original language | English |
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Title of host publication | Advances in Multimedia Information Processing, PCM 2010 - 11th Pacific Rim Conference on Multimedia, Proceedings |
Pages | 549-558 |
Number of pages | 10 |
Edition | PART 2 |
DOIs | |
Publication status | Published - 2010 |
Event | 11th Pacific Rim Conference on Multimedia, PCM 2010 - Shanghai, China Duration: 2010 Sept 21 → 2010 Sept 24 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Number | PART 2 |
Volume | 6298 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Other
Other | 11th Pacific Rim Conference on Multimedia, PCM 2010 |
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Country/Territory | China |
City | Shanghai |
Period | 10-09-21 → 10-09-24 |
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- General Computer Science