Computerized detection of masses in digital mammograms: Investigation of feature-analysis techniques

Journal of Digital Imaging

Volumn 7, Issue 1, 1994, Pages 18-26

  Yin, Fang Fang ^a   Giger, Maryellen L ^a   Doi, Kunio ^a   Vyborny, Carl J ^a   Schmidt, Robert A ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

computer aided diagnosis; computer vision; digital mammography; feature analysis; free response receiver operating characteristic (FROC) analysis

Indexed keywords

ARTICLE; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE QUALITY; LABORATORY DIAGNOSIS; MAMMOGRAPHY; MASS SCREENING; METHODOLOGY; RADIOGRAPHY; ROC CURVE;

BREAST NEOPLASMS; FALSE POSITIVE REACTIONS; FEMALE; HUMAN; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAMMOGRAPHY; MASS SCREENING; RADIOGRAPHIC IMAGE ENHANCEMENT; ROC CURVE; SUPPORT, NON-U.S. GOV'T; SUPPORT, U.S. GOV'T, P.H.S.;

EID: 0028373095     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/BF03168475     Document Type: Article

References (16)

1. Decreased breast cancer mortality through mammographic screening: Results of clinical trails
2. Update of the swedish two-county program of mammographic screening for breast cancer
3. Investigation of methods for the computerized detection and analysis of mammographic masses
4. Computerized detection of masses in digital mammograms: Analysis of bilateral-subtraction images
5. Breast masses: Mammographic and sonographic evaluation
6. Breast masses: Mammographic evaluation
7. Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data
8. Free-response methodology: Alternate analysis and a new observer-performance experiment
9. Comparison of bilateral-subtraction and single-image processing techniques in the computerized detection of mammographic mass
10. Automated registration of digital mammograms for use in mammographic computer vision schemes
11. Development of a ‘smart’ workstation for use in mammography
12. Artificial neural networks in mammography: Application to decision making in the diagnosis of breast cancer