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.
"Sinopsis" puede pertenecer a otra edición de este libro.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 2,25 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envíoEUR 4,00 gastos de envío desde Italia a Estados Unidos de America
Destinos, gastos y plazos de envíoLibrería: Brook Bookstore On Demand, Napoli, NA, Italia
Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: 719d58612c49750b57722fd27ee717b9
Cantidad disponible: Más de 20 disponibles
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New. Nº de ref. del artículo: ABLIING23Mar2716030035464
Cantidad disponible: Más de 20 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: New. Nº de ref. del artículo: 13971093-n
Cantidad disponible: 15 disponibles
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Paperback. Condición: new. Paperback. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781461419082
Cantidad disponible: 1 disponibles
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 13971093
Cantidad disponible: 15 disponibles
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781461419082_new
Cantidad disponible: Más de 20 disponibles
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condición: New. 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. . 2011. 2012. Paperback. . . . . Nº de ref. del artículo: V9781461419082
Cantidad disponible: 15 disponibles
Librería: Chiron Media, Wallingford, Reino Unido
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9781461419082
Cantidad disponible: 10 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch. Nº de ref. del artículo: 9781461419082
Cantidad disponible: 2 disponibles
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
Condición: New. 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. . 2011. 2012. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. del artículo: V9781461419082
Cantidad disponible: 15 disponibles