Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.
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R. Srivastava, DIT Univ., A. Khanna, Agrasen Institute, S.Bhattacharyya, RCC Institute, India; N. Nhu, Duy Tan Univ., Vietnam.
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 166 | Sprache: Englisch | Produktart: Bücher. Nº de ref. del artículo: 36813744/1
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Buch. Condición: Neu. Neuware -Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world.Walter de Gruyter GmbH, Genthiner Strasse 13, 10785 Berlin 182 pp. Englisch. Nº de ref. del artículo: 9783110676082
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Gebunden. Condición: New. R. Srivastava, DIT Univ., A. Khanna, Agrasen Institute, S.Bhattacharyya, RCC Institute, India N. Nhu, Duy Tan Univ., Vietnam. Predictive Intelligence in Biom. Nº de ref. del artículo: 401761375
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world. 182 pp. Englisch. Nº de ref. del artículo: 9783110676082
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Predictive Intelligence in Biomedical and Health Informatics focuses on imaging, computer-aided diagnosis and therapy as well as intelligent biomedical image processing and analysis. It develops computational models, methods and tools for biomedical engineering related to computer-aided diagnostics (CAD), computer-aided surgery (CAS), computational anatomy and bioinformatics. Large volumes of complex data are often a key feature of biomedical and engineering problems and computational intelligence helps to address such problems. Practical and validated solutions to hard biomedical and engineering problems can be developed by the applications of neural networks, support vector machines, reservoir computing, evolutionary optimization, biosignal processing, pattern recognition methods and other techniques to address complex problems of the real world. Nº de ref. del artículo: 9783110676082
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