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Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing

. Medical imaging in 2D and 3D includes many techniques and operations such as image gaining, storage, presentation, and communication. The 2D and;

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Artificial Intelligence and Machine Learning , An Issue of Neuroimaging Clinics of North America

This issue of Neuroimaging Clinics of North America focuses on Artificial Intelligence and Machine Learning and is edited by Dr. Reza;

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Applications of Hybrid Metaheuristic Algorithms for Image Processing

, swarm, machine learning and deep learning. The respective chapters explore different areas of image processing, from image segmentation to the;

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Developments in Medical Image Processing and Computational Vision

learning, machine vision, mathematics, medical image, medicine, pattern recognition, and physics.;

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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning

Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;

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Recent Trends in Image and Signal Processing in Computer Vision

, imaging science, artificial intelligence, and their applications. It covers all branches of artificial intelligence and machine learning that are;

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Artificial Intelligence and Deep Learning in Pathology

, whole slide imaging for 2D and 3D analysis, and general principles of image analysis and deep learning. Discusses and explains recent;

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State of the Art in Neural Networks and Their Applications

, optical coherence tomography, cryo-electron tomography, 3D MRI, CT, and more Covers deep learning for several medical conditions;

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Hybrid Machine Intelligence for Medical Image Analysis

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces;

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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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Pattern Recognition and Machine Intelligence

reviewed and selected from 341 submissions. They are organized in topical sections named: Pattern Recognition; Machine Learning; Deep Learning;

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AI 2006: Advances in Artificial Intelligence

, Australia, December 2006. Coverage includes foundations and knowledge based system, machine learning, connectionist AI, data mining, intelligent;

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Computational Intelligence in Medical Imaging

contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning;

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Computational Intelligence in Medical Imaging

contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning;

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Machine Learning and Information Processing

solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human-computer interaction, IoT;

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Advances in Artificial Intelligence

processing; robotics; knowledge representation, reasoning, and scheduling; medical applications of artificial intelligence.;

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Machine Learning and Information Processing

, artificial intelligence, human-computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.;

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Advanced Machine Vision Paradigms for Medical Image Analysis

of medical image processing Investigates novel techniques and reviews the state-of-the-art in the areas of machine learning, computer vision;

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Applications of Artificial Intelligence and Machine Learning

Intelligence and Machine Learning - ICAAAIML 2020. The book covers research in artificial intelligence, machine learning, and deep learning;

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Pattern Recognition and Machine Intelligence

This book constitutes the proceedings of the 6th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2015, held;

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Artificial Intelligence

in topical sections on deep learning, image and video processing, NLP and recommender system, machine learning algorithms, and AI applications.;

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Image Analysis and Processing -- ICIAP 2009

processing, 2D and 3D segmentation, feature extraction and image analysis, object detection and recognition, video analysis and processing, pattern;

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Proceedings of International Conference on Computational Intelligence and Computing

pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks and IoT;

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AI 2008: Advances in Artificial Intelligence

, planning, grammar and language processing, statistical learning, machine learning, data mining, knowledge discovery, soft computing, vision and;

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Artificial Intelligence for Data-Driven Medical Diagnosis

Learning, Deep Learning and Intelligent Optimization. Physical devices powered with Artificial Intelligence are gaining importance in diagnosis and;

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AI 2019: Advances in Artificial Intelligence

were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and;

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Advances in Computational Intelligence

; artificial neural network for biomedical image processing; machine learning in vision and robotics; system identification, process control, and;

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