Classification of breast tissue by texture analysis

Image and Vision Computing

Volumn 10, Issue 5, 1992, Pages 277-282

  Miller, Peter ^a   Astley, Sue ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

computerized mammography; medical image interpretation; texture segmentation

Indexed keywords

EID: 44049116417     PISSN: 02628856     EISSN: None     Source Type: Journal    
DOI: 10.1016/0262-8856(92)90042-2     Document Type: Article

References (22)

1. Combining cues for mammographic abnormalities
2. “Improvements in radiologists” detection of clustered microcalcifications on mammograms: the potential of computer-aided diagnosis
3. Patient dose and risk in mammography
4. The combined effects of breast composition and size in determining radiation risks from mammography
5. Breast patterns as an index of risk for developing breast cancer
6. Toward reliable measurement of breast parenchymal patterns
7. Computerized quantification of breast duct patterns
8. Mammographic texture analysis: an evaluation of risk for developing breast cancer
9. Characterisation of mammographic parenchymal pattern by fractal dimension
10. Computer screening of Xeromammograms: a technique for defining suspicious areas of the breast
11. Investigation of methods for the computerised detection and analysis of mammographic masses
12. Automatic detection of suspicious abnormalities in breast radiographs
13. Statistical and structural approaches to textures
14. Texture feature performance for image segmentation
15. Textured Image Segmentation
16. Classification of Breast Tissue by Texture Analysis
17. A quad-tree approach to image segmentation which combines statistical and spatial information
18. Thresholding using relaxation