@inproceedings{89e815228eab4da79634fc59db3ec79c,
title = "Self-organizing maps for masking mammography images",
abstract = "This paper describes a new image segmentation algorithm for masking the breast region from the background in digital mammograms. The algorithm is applied to 160 images and shows promising results. Evaluation is based on comparisons with a histogram/region-growing algorithm. A self-organizing map is used to obtain an initial segmentation. The weight vectors of the self-organizing map are then clustered using the K-means method. Knowledge-based refinement provides the final binary mask that segments the image. Results indicated that the proposed approach could be used as the first stage in a computer-aided diagnostic system.",
keywords = "Medical image segmentation, clustering methods, mammography, self-organizing maps",
author = "Rickard, {H. E.} and Tourassi, {G. D.} and Elmaghraby, {A. S.}",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine 2003, ITAB 2003 ; Conference date: 24-04-2003 Through 26-04-2003",
year = "2003",
doi = "10.1109/ITAB.2003.1222538",
language = "English",
series = "Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "302--305",
booktitle = "Conference Proceedings - 4th International IEEE EMBS Special Topic Conference on Information Technology Applications in Biomedicine 2003",
}