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Machine Learning and Deep Learning Techniques for Medical Image Recognition (Advances in Smart Healthcare Technologies) - Softcover
- PublisherCRC Press
- Publication date2025
- ISBN 10 1032432217
- ISBN 13 9781032432212
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages258
- EditorSoufiene Ben Othman, Chakraborty Chinmay
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Machine Learning and Deep Learning Techniques for Medical Image Recognition
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Machine Learning and Deep Learning Techniques for Medical Image Recognition
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Machine Learning and Deep Learning Techniques for Medical Image Recognition (Paperback)
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Taylor & Francis Ltd, London, 2025
ISBN 10: 1032432217
ISBN 13: 9781032432212
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Paperback. Condition: new. Paperback. Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples.Features:Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathologyCovers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging. This book comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining supported by case studies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781032432212
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Machine Learning and Deep Learning Techniques for Medical Image Recognition
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Machine Learning and Deep Learning Techniques for Medical Image Recognition
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Machine Learning and Deep Learning Techniques for Medical Image Recognition (Paperback)
Published by
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032432217
ISBN 13: 9781032432212
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Paperback. Condition: new. Paperback. Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples.Features:Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathologyCovers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging. This book comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining supported by case studies. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781032432212
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Machine Learning and Deep Learning Techniques for Medical Image Recognition (Paperback)
Published by
Taylor & Francis Ltd, London, 2025
ISBN 10: 1032432217
ISBN 13: 9781032432212
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Paperback. Condition: new. Paperback. Machine Learning and Deep Learning Techniques for Medical Image Recognition comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks with the theory and varied selection of techniques for semantic segmentation using deep learning principles in medical imaging supported by practical examples.Features:Offers important key aspects in the development and implementation of machine learning and deep learning approaches toward developing prediction tools and models and improving medical diagnosis Teaches how machine learning and deep learning algorithms are applied to a broad range of application areas, including chest X-ray, breast computer-aided detection, lung and chest, microscopy, and pathologyCovers common research problems in medical image analysis and their challenges Focuses on aspects of deep learning and machine learning for combating COVID-19 Includes pertinent case studies This book is aimed at researchers and graduate students in computer engineering, artificial intelligence and machine learning, and biomedical imaging. This book comprehensively reviews deep learning-based algorithms in medical image analysis problems including medical image processing. It includes a detailed review of deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining supported by case studies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781032432212
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