Summary
The huge amount of digital images generated in hospitals leads to the need of automatic storage and retrieval of them. A Picture Archiving and Communication System (PACS) should incorporate properties allowing to retrieve these images and adding Content-Based Image Retrieval (CBIR) capabilities to PACS makes it more powerful to assist diagnosis. Such systems provide features which combine color, shape and spatial features to query an image. In response to a user’s query, the system returns images that are similar in some user-defined sense. Our purpose in this study is to develop a method of image mammogram feature extraction (microcalcifications and masses features) in CBIR system.
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Choraś, R.S. (2008). Shape and Texture Feature Extraction for Retrieval Mammogram in Databases. In: Pietka, E., Kawa, J. (eds) Information Technologies in Biomedicine. Advances in Soft Computing, vol 47. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68168-7_12
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DOI: https://doi.org/10.1007/978-3-540-68168-7_12
Publisher Name: Springer, Berlin, Heidelberg
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