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This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.

Artificial intelligence --- Imaging systems in medicine. --- Medical applications. --- Medical imaging systems --- Medical instruments and apparatus --- Medicine --- Data processing --- Artificial Intelligence. --- Diagnostic Imaging --- Image Processing, Computer-Assisted. --- Signal Processing, Computer-Assisted. --- methods. --- Digital Signal Processing --- Signal Interpretation, Computer-Assisted --- Signal Processing, Digital --- Computer-Assisted Signal Interpretation --- Computer-Assisted Signal Interpretations --- Computer-Assisted Signal Processing --- Interpretation, Computer-Assisted Signal --- Interpretations, Computer-Assisted Signal --- Signal Interpretation, Computer Assisted --- Signal Interpretations, Computer-Assisted --- Signal Processing, Computer Assisted --- Fetal Monitoring --- Monitoring, Physiologic --- Data Compression --- Analysis, Computer-Assisted Image --- Computer-Assisted Image Analysis --- Biomedical Image Processing --- Computer-Assisted Image Processing --- Digital Image Processing --- Image Analysis, Computer-Assisted --- Image Reconstruction --- Medical Image Processing --- Computer Assisted Image Analysis --- Computer Assisted Image Processing --- Computer-Assisted Image Analyses --- Image Analyses, Computer-Assisted --- Image Analysis, Computer Assisted --- Image Processing, Biomedical --- Image Processing, Computer Assisted --- Image Processing, Digital --- Image Processing, Medical --- Image Processings, Medical --- Image Reconstructions --- Medical Image Processings --- Processing, Biomedical Image --- Processing, Digital Image --- Processing, Medical Image --- Processings, Digital Image --- Processings, Medical Image --- Reconstruction, Image --- Reconstructions, Image --- Multimodal Imaging --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Heuristics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book focuses on advanced techniques used for feature extraction, analysis, recognition, and classification in the area of biomedical signal and image processing. Contributions cover all aspects of artificial intelligence, machine learning, and deep learning in the field of biomedical signal and image processing using novel and unexplored techniques and methodologies. The book covers recent developments in both medical images and signals analyzed by artificial intelligence techniques. The authors also cover topics related to development based artificial intelligence, which includes machine learning, neural networks, and deep learning. This book will provide a platform for researchers who are working in the area of artificial intelligence for biomedical applications. Provides insights into medical signal and image analysis using artificial intelligence; Includes novel and recent trends of decision support system for medical research; Outlines employment of evolutionary algorithms for biomedical data, big data analysis for medical databases, and reliability, opportunities, and challenges in clinical data.

Human biochemistry --- Electronics --- Biotechnology --- Computer. Automation --- DIP (documentimage processing) --- beeldverwerking --- medische biochemie --- bio-engineering --- signal processing --- biotechnologie --- medische informatica --- signaalprocessoren --- signaalverwerking