Abstract | ||
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In this work, we conducted an imaging study to make a direct, quantitative comparison of image features measured by film and full-field digital mammography (FFDM). We acquired images of cadaver breast specimens containing simulated microcalcifications using both a GE digital mammography system and a screen-film system. To quantify the image features, we calculated and compared a set of 12 texture features derived from spatial gray-level dependence matrices. Our results demonstrate that there is a great degree of agreement between film and FFDM, with the correlation coefficient of the feature vector (formed by the 12 textural features) being 0.9569 between the two; in addition, a paired sign test reveals no significant difference between film and FFDM features. These results indicate that textural features may be interchangeable between film and FFDM for CAD algorithms. |
Year | DOI | Venue |
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2011 | 10.1117/12.877577 | Proceedings of SPIE |
Keywords | Field | DocType |
Full-field digital mammography (FFDM),screen-film mammograms,clustered microcalcifications,texture features,computer-aided diagnosis (CAD) | Digital mammography,CAD,Computer vision,Mammography,Correlation coefficient,Feature vector,Feature (computer vision),Artificial intelligence,Physics,Sign test | Conference |
Volume | ISSN | Citations |
7963 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hao Jing | 1 | 9 | 3.46 |
Yongyi Yang | 2 | 1409 | 140.74 |
Miles N. Wernick | 3 | 595 | 61.13 |
Laura Yarusso | 4 | 10 | 5.59 |
Robert M Nishikawa | 5 | 599 | 58.25 |