|
|
|||
|
||||
OverviewCreating New Medical Ontologies for Image Annotation focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. All the steps of this process are described in detail with algorithms, experiments and results. The original algorithms proposed by authors are compared with other efficient similar algorithms. In addition, the authors treat the problem of creating ontologies in an automatic way, starting from Medical Subject Headings (MESH). They have presented some efficient and relevant annotation models and also the basics of the annotation model used by the proposed system: Cross Media Relevance Models. Based on a text query the system will retrieve the images that contain objects described by the keywords. Full Product DetailsAuthor: Liana Stanescu , Dumitru Dan Burdescu , Marius Brezovan , Cristian Gabriel MihaiPublisher: Springer Science+Business Media Imprint: Springer Science+Business Media ISBN: 9786613445889ISBN 10: 6613445886 Pages: 120 Publication Date: 01 January 2012 Audience: General/trade , General Format: Electronic book text Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |