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Creating New Medical Ontologies for Image Annotation
Stanescu, Liana; Burdescu, Dumitru Dan; Brezovan, Marius; Mihai, Cristian Gabriel
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Description for Creating New Medical Ontologies for Image Annotation
Paperback. Focuses on the problem of the medical images automatic annotation process, which is solved in an original manner by the authors. In this title, all the steps of this process are described in detail with algorithms, experiments and results. It also compares the original algorithms proposed by authors with other efficient similar algorithms. Series: SpringerBriefs in Electrical and Computer Engineering. Num Pages: 119 pages, 17 black & white illustrations, 10 colour illustrations, 12 black & white tables, biograp. BIC Classification: MMP; TTBM; UYT. Category: (P) Professional & Vocational. Dimension: 238 x 171 x 8. Weight in Grams: 200.
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: ... Read more
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: ... Read more
Product Details
Format
Paperback
Publication date
2011
Publisher
Springer-Verlag New York Inc. United States
Number of pages
119
Condition
New
Series
SpringerBriefs in Electrical and Computer Engineering
Number of Pages
111
Place of Publication
New York, NY, United States
ISBN
9781461419082
SKU
V9781461419082
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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