Semantic Medical Image Indexing. Furht, B., editor In Encyclopedia of Multimedia, pages 805–806. Springer US, 2008. 00000
Semantic Medical Image Indexing [link]Paper  abstract   bibtex   
DefinitionSemantic information is useful and effective in medical image retrieval and indexing.Medical images are an integral part in medical diagnosis, research, and teaching. Medical image analysis research has focused on image registration, measurement, and visualization. Besides being valuable for medical research and training, medical image retrieval systems can assist doctors in diagnosis by retrieving images with known pathologies that are similar to a patient's image(s). In reality, pathology bearing regions tend to be highly localized [1]. However, it has been recognized that pathology bearing regions cannot be segmented out automatically for many medical domains [2]. Hence the detection-based Semantic Support Regions (SSRs) representation and indexing scheme described in the article Semantic Image Representation and Indexing provides a promising alternative for semantic medical image indexing and retrieval.Based on 172 images (2%) of the 8,725 CasImage collection us ...
@incollection{furht_semantic_2008-4,
	title = {Semantic {Medical} {Image} {Indexing}},
	copyright = {©2008 Springer-Verlag},
	isbn = {978-0-387-74724-8 978-0-387-78414-4},
	url = {http://link.springer.com/referenceworkentry/10.1007/978-0-387-78414-4_211},
	abstract = {DefinitionSemantic information is useful and effective in medical image retrieval and indexing.Medical images are an integral part in medical diagnosis, research, and teaching. Medical image analysis research has focused on image registration, measurement, and visualization. Besides being valuable for medical research and training, medical image retrieval systems can assist doctors in diagnosis by retrieving images with known pathologies that are similar to a patient's image(s). In reality, pathology bearing regions tend to be highly localized [1]. However, it has been recognized that pathology bearing regions cannot be segmented out automatically for many medical domains [2]. Hence the detection-based Semantic Support Regions (SSRs) representation and indexing scheme described in the article Semantic Image Representation and Indexing provides a promising alternative for semantic medical image indexing and retrieval.Based on 172 images (2\%) of the 8,725 CasImage collection us ...},
	language = {en},
	urldate = {2016-05-03},
	booktitle = {Encyclopedia of {Multimedia}},
	publisher = {Springer US},
	editor = {Furht, Borko},
	year = {2008},
	note = {00000},
	pages = {805--806}
}
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