A new false positive reduction method for MCCs detection in digital mammography

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 2, Issue , 2001, Pages 1033-1036

  Zhang, L ^a   Qian, W ^a   Sankar, R ^a   Song, D ^a   Clark, R ^a  

^a University of South Florida   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; KALMAN FILTERING; MAMMOGRAPHY; NONLINEAR FILTERING;

DIGITAL MAMMOGRAPHY; FALSE POSITIVE REDUCTION; MICROCALCIFICATION CLUSTERS; MULTIPLE FALSE POSITIVE;

DIGITAL SIGNAL PROCESSING;

EID: 0034855177     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Application of shape analysis to mammographic calcifications
2. Analysis of methods for reducing false positives in the automated detection of clustered microcalcifications in mammograms
3. Mixed feature neural network with spectral entropy decision for detection of micro-calcifications
4. Computerized detection of clustered micro-calcifications in digital mammograms using a shift-invariant artificial neural network
5. Tree-structured nonlinear filters in digital mammography
6. Mammographic feature analysis