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Natural User Interfaces in Medical Image Analysis: Cognitive Analysis of Brain and Carotid Artery Images (Advances in Computer Vision and Pattern Recognition)
Ogiela, Marek R., Hachaj, Tomasz
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Description for Natural User Interfaces in Medical Image Analysis: Cognitive Analysis of Brain and Carotid Artery Images (Advances in Computer Vision and Pattern Recognition)
Hardcover. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 288 pages, 50 black & white illustrations, 74 colour illustrations, 27 black & white tables, 7 colou. BIC Classification: MMPH; UYQP; UYT. Category: (P) Professional & Vocational. Dimension: 162 x 242 x 17. Weight in Grams: 562.
This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; presents original ... Read more
This unique text/reference highlights a selection of practical applications of advanced image analysis methods for medical images. The book covers the complete methodology for processing, analysing and interpreting diagnostic results of sample CT images. The text also presents significant problems related to new approaches and paradigms in image understanding and semantic image analysis. To further engage the reader, example source code is provided for the implemented algorithms in the described solutions. Features: describes the most important methods and algorithms used for image analysis; examines the fundamentals of cognitive computer image analysis for computer-aided diagnosis and semantic image description; presents original ... Read more
Product Details
Format
Hardback
Publication date
2014
Publisher
Springer
Condition
New
Series
Advances in Computer Vision and Pattern Recognition
Number of Pages
288
Place of Publication
Cham, Switzerland
ISBN
9783319077994
SKU
V9783319077994
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Ogiela, Marek R., Hachaj, Tomasz
Prof. Dr. Marek R. Ogiela is a Professor of Computer Science and Head of the Cryptography and Cognitive Informatics Research Group at the AGH University of Science and Technology, Krakow, Poland. He has developed new paradigms of visual pattern cognitive understanding, as well as crypto-biometric secret-sharing threshold schemes. His publications include the Springer titles Secure Information Management Using Linguistic ... Read more
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