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 and Boyd SCC class, and the differences between results for the set of all images and the subset of 206 normal images were investigated. The results indicated a significant difference between Boyd classes 1–3 (low risk) and classes 4–6 (high risk), and between most Tabar patterns. No significant differences were found between the results for the set of all images and the set of normal images.
| Original language | English |
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| Pages | 11-15 |
| Number of pages | 5 |
| Publication status | Published - 04 Jul 2006 |
| Event | 10th UK Conference on Medical Image Understanding and Analysis - MIUA: 4-5 th July 2006, University of Manchester - University of Manchester, Manchester, United Kingdom of Great Britain and Northern Ireland Duration: 04 Jul 2006 → 05 Jul 2006 |
Conference
| Conference | 10th UK Conference on Medical Image Understanding and Analysis - MIUA |
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| Abbreviated title | MIUA 2006 |
| Country/Territory | United Kingdom of Great Britain and Northern Ireland |
| City | Manchester |
| Period | 04 Jul 2006 → 05 Jul 2006 |
