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 . 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 . 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.
|Number of pages||4|
|Publication status||Published - 2001|
|Event||Medical Image Understanding and Analysis '01 - University of Birmingham, Birmingham, United Kingdom|
Duration: 16 Jul 2001 → 17 Jul 2001
|Conference||Medical Image Understanding and Analysis '01|
|Abbreviated title||MIUA 2001|
|Period||16/07/01 → 17/07/01|