Reproducibility of an automated scheme for the detection of clustered microcalcifications on digital mammograms

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 2710, Issue , 1996, Pages 24-29

  Nishikawa, Robert M ^a   Papaioannou, John ^a   Collins, Stephen A ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Breast cancer; Computer aided diagnosis; Detection; Digital mammography; Image analysis; Microcalcifications; Reproducibility

Indexed keywords

COMPUTER AIDED DIAGNOSIS; ERROR DETECTION; IMAGE ANALYSIS; MAMMOGRAPHY; MEDICAL IMAGING; RADIOLOGY;

MICROCALCIFICATION;

CALCIFICATION (BIOCHEMISTRY);

EID: 0030313110     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.237942     Document Type: Conference Paper

References (8)

1. Computer-aided diagnosis (CAD): Development of automated schemes for quantitative analysis of radiographic images
2. Performance of Automated CAD schemes for the detection and classification of clustered microcalcifications
3. Digital mammography: Development of a computer-aided system for detection of microcalcifications
4. Computer-aided detection of microcalcifications in mammograms: Methodology and preliminary clinical study
5. Method of extracting microcalcifications' signal area and signal thickness from digital mammograms
6. Computer-aided detection and diagnosis of masses and clustered microcalcifications from digital mammograms
7. A shift-invariant artificial neural network for detecting clustered microcalcifications in digital mammograms
8. Initial experience with a prototype clinical "intelligent" mammography workstation for computer-aided diagnosis