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Creating new medical ontologies for image annotation : a case study

Liana Stanescu ([, Springer], 2012)

 Abstrak

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. 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.

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No. Panggil : e20418292
Entri utama-Nama orang :
Entri tambahan-Nama orang :
Subjek :
Penerbitan : New York: [, Springer], 2012
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik:
Tautan: http://link.springer.com/book/10.1007%2F978-1-4614-1909-9
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