Isbn: 9781461419082 - creating new medical ontologies for image annotation: a case study (3 risultati)

Creating New Medical Ontologies for Image Annotation : A Case Study
Stanescu, Liana; Burdescu, Dumitru Dan; Brezovan, Marius; Mihai, Cristian Gabriel
Lingua: Inglese
Editore: Springer, 2011
Serie: Libro 11 di 209 - SpringerBriefs in Electrical and Computer Engineering
- Brossura
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 57,12
EUR 2,35 spedizioneSpedito in U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.

Creating New Medical Ontologies for Image Annotation : A Case Study
Stanescu, Liana; Burdescu, Dumitru Dan; Brezovan, Marius; Mihai, Cristian Gabriel
Lingua: Inglese
Editore: Springer, 2011
Serie: Libro 11 di 209 - SpringerBriefs in Electrical and Computer Engineering
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Come nuovo
EUR 62,13
EUR 17,65 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
Condizione: As New. Unread book in perfect condition.

Creating New Medical Ontologies for Image Annotation : A Case Study
Liana Stanescu, Cristian Gabriel Mihai, Marius Brezovan, Dumitru Dan Burdescu
Lingua: Inglese
Editore: Springer New York, 2011
Serie: Libro 11 di 209 - SpringerBriefs in Electrical and Computer Engineering
- Brossura
Da: Buchpark, Trebbin, GermaniaBuchpark
Contatta il venditoreVenditore con 5 stelleCondizione: Usato - Ottimo
EUR 43,12
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibile
Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | 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.…