Evaluating lesion segmentation on breast sonography as related to lesion type

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orcId Pons Rodríguez, Gerard​ ​ scopusId Pons Rodríguez, Gerard​ ​
Pons Rodríguez, Gerard
orcId Martí Bonmatí, Joan​ ​ scopusId Martí Bonmatí, Joan​ ​
Martí Bonmatí, Joan
orcId Martí Marly, Robert​ researcherId Martí Marly, Robert​ scopusId Martí Marly, Robert​ ​
Martí Marly, Robert
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Ganau, Sergi
orcId Vilanova, Joan Carles​ ​ scopusId Vilanova, Joan Carles​ ​
Vilanova, Joan Carles
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Noble, J. Alison
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Breast sonography currently provides a complementary diagnosis when other modalities are not conclusive. However, lesion segmentation on sonography is still a challenging problem due to the presence of artifacts. To solve these problems, Markov random fields and maximum a posteriori-based methods are used to estimate a distortion field while identifying regions of similar intensity inhomogeneity. In this study, different initialization approaches were exhaustively evaluated using a database of 212 B-mode breast sonograms and considering the lesion types. Finally, conclusions about the relationship between the segmentation results and lesions types are described ​
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