Abstract
We have developed a novel technique for both the detection and anatomical classification of linear structures in mammographic images. Both stages are based on the statistical modelling of scale-orientation signatures. All experiments are based on a leave-one-out approach. The detection stage has been presented before [1]. For the classification stage real mammographic data was used. As the signatures incorporate scale aspects it is no longer essential to extract scale information which was previously shown to be a bottleneck in obtaining acceptable classification [2]. Spicule classification results show major improvements at low sensitivity and only moderate degradation at high sensitivity. We present spicule images based on both the detection and classification stages.
| Original language | English |
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| 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 |