Abstract
Previous works on breast tissue identification and abnormalities detection notice that the feature extraction process is affected if the region processed is not well focused. Thereby, it is important to split the mammogram into interesting regions to achieve optimal breast parenchyma measurements, breast registration or to put into focus a technique when we search for abnormalities. In this paper, we review most of the relevant work that has been presented from 80’s to nowadays. Secondly, an automated technique for segmenting a digital mammogram into breast region and background, with pectoral muscle suppression is presented.
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Raba, D., Oliver, A., Martí, J., Peracaula, M., Espunya, J. (2005). Breast Segmentation with Pectoral Muscle Suppression on Digital Mammograms. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492542_58
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DOI: https://doi.org/10.1007/11492542_58
Publisher Name: Springer, Berlin, Heidelberg
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