Statistical Measures for the Computer-Aided Diagnosis of Mammographic Masses
We propose statistical measures for finding masses in mammograms. The measures are based on fitting broken line regressions to local intensity plots of the images. The method is illustrated on a small database of mammograms that have been read by a radiologist and confirmed by operative data. This w...
| Veröffentlicht in: | Journal of Computational and Graphical Statistics. - American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America, 1992. - 8(1999), 3, Seite 531-543 |
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| Weitere Verfasser: | , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
1999
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| Zugriff auf das übergeordnete Werk: | Journal of Computational and Graphical Statistics |
| Schlagworte: | Breast cancer Classification Diagnosis Mammography Applied sciences Physical sciences Social sciences Health sciences Mathematics Behavioral sciences |
| Zusammenfassung: | We propose statistical measures for finding masses in mammograms. The measures are based on fitting broken line regressions to local intensity plots of the images. The method is illustrated on a small database of mammograms that have been read by a radiologist and confirmed by operative data. This work illustrates some of the statistical challenges in working with large diagnostic images. |
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| ISSN: | 15372715 |
| DOI: | 10.2307/1390873 |