Abstract
Mammographic risk assessment is concerned with the probability of a woman developing breast cancer. Recently, it has been suggested that the density of linear structures is related to risk. For 321 images from the MIAS database, a measure of line strength was obtained for each pixel using the Line Operator method. The proportion of pixels with line strength above a threshold level was calculated for each image and the results categorised by Tabar pattern, Boyd SCC class and BIRADS class. The results indicated a significant difference between Boyd classes 1–3 (low risk) and classes 4–6 (high risk), and between most Tabar patterns and BIRADS classes.
Keywords
- Linear Structure
- Linear Density
- Line Operator
- Line Strength
- High Risk Class
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Hadley, E.M., Denton, E.R.E., Zwiggelaar, R. (2006). Mammographic Risk Assessment Based on Anatomical Linear Structures. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_84
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DOI: https://doi.org/10.1007/11783237_84
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-35625-7
Online ISBN: 978-3-540-35627-1
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