Abstract
We have developed an approach to the separation of background texture and structures in images. The developed approach is based on the statistical difference between local and median co-occurrence matrices. It is our assertion that the classification of mammographic parenchymal patterns can be improved if anatomical structures can be removed from the image and the classification is based only on the background texture information. We compare the results of the classification between original images and images composed of their reconstructed background texture. 265 mammograms from the MIAS database [1] have been used for our experiment and the classification of the parenchymal patterns is based on Karssemeijer’s model [2].
| Original language | English |
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| Pages | 145-148 |
| Number of pages | 4 |
| Publication status | Published - 16 Jul 2001 |
| Externally published | Yes |
| Event | Medical Image Understanding and Analysis 2001 - University of Birmingham, Birmingham, United Kingdom of Great Britain and Northern Ireland Duration: 16 Jul 2001 → 17 Jul 2001 |
Conference
| Conference | Medical Image Understanding and Analysis 2001 |
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| Abbreviated title | MIUA 2001 |
| Country/Territory | United Kingdom of Great Britain and Northern Ireland |
| City | Birmingham |
| Period | 16 Jul 2001 → 17 Jul 2001 |