| Autor: |
Ali, Maya Alsheh, Garnier, Mickaël, Humphreys, Keith |
| Předmět: |
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| Zdroj: |
Procedia Computer Science; 2016, Vol. 90, p169-174, 6p |
| Abstrakt: |
We present a new approach for characterising the shape and the spatial relationships of different categories of density in mammograms. Descriptions of regions are encoded using a forces histogram method and across-image variation is captured using functional principal component analysis. We evaluate the association of the features with breast cancer based on a pilot case- control study using logistic regression with percent density, age, and body mass index included as adjustment variables. The spatial relations were significantly associated with breast cancer status (p= 0.009). Our approach can provide insights into the role of different density regions in the development of breast cancer. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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