Automatic segmentation of mammographic density

Academic Radiology

Volumn 8, Issue 3, 2001, Pages 250-256

  Sivaramakrishna, Radhika ^a   Obuchowski, Nancy A ^a   Chilcote, William A ^a   Powell, Kimerly A ^a  

^a LERNER RESEARCH INSTITUTE   (United States)

Author keywords

Breast cancer; Breast density; Kittler s optimal threshold

Indexed keywords

ADULT; AGED; ALGORITHM; AUTOMATION; BREAST; CONFERENCE PAPER; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; MAMMOGRAPHY; NORMAL HUMAN; OPTICAL DENSITY; PRIORITY JOURNAL; VALIDATION PROCESS;

EID: 0034926028     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1076-6332(03)80534-2     Document Type: Article

References (19)

1. Breast patterns as an index of risk for developing breast cancer
2. Mammographic features of the breast and breast cancer risk
3. Analysis of mammographic density and breast cancer risk from digitized mammograms
4. High mammographic breast density and its implications for the early detection of breast cancer
5. Breast cancer risk and measured mammographic density
6. Effects at two years of a low-fat, high-carbohydrate diet on radiologic features of the breast: Results from a randomized trial
7. Changes in mammographic densities induced by a hormonal contraceptive designed to reduce breast cancer risk
8. Changes in mammographic breast density and concomitant changes in breast cancer risk
9. Mammographic densities and risk of breast cancer
10. Quantitative analysis of breast parenchymal density: Correlation with women's age
11. Minimum error thresholding
12. Symmetry of projection in the quantitative analysis of mammographic images
13. Mammographic signs of potential relevance to breast cancer risk: The agreement of radiologists' classification
14. Automated segmentation of digitized mammograms
15. Automatic detection of breast border and nipple in digital mammograms
16. Fatty and fibroglandular tissue volumes in the breasts of women 20-83 years old: Comparison of x-ray mammography and computer-assisted MR imaging
17. Fibroglandular breast tissue assessments by mammography and MR imaging
18. Quantitative classification of mammographic densities and breast cancer risk: Results from the Canadian National Breast Screening Study