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Creating New Medical Ontologies for Image Annotation
Liana StanescuDumitru Dan BurdescuMarius BrezovanCristian Gabriel Mihai
其他書名
A Case Study
出版Springer Science & Business Media, 2011-12-16
主題Technology & Engineering / Electronics / GeneralMedical / BiochemistryComputers / Software Development & Engineering / Computer GraphicsComputers / Programming / AlgorithmsTechnology & Engineering / Imaging SystemsTechnology & Engineering / ElectricalMedical / Allied Health Services / Imaging TechnologiesComputers / Optical Data Processing
ISBN14614190939781461419099
URLhttp://books.google.com.hk/books?id=UE4q_FKquVMC&hl=&source=gbs_api
EBookSAMPLE
註釋Creating 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.