Machine Learning and Deep Learning Techniques for Medical Image Recognition
by Ben Othman Soufiene, Chinmay ChakrabortyEstimated delivery 3-12 business days
Format Hardcover
Condition Brand New
Description 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.
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 :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.
- ISBN 1032416165
- ISBN-13 9781032416168
- Title Machine Learning and Deep Learning Techniques for Medical Image Recognition
- Author Ben Othman Soufiene, Chinmay Chakraborty
- Format Hardcover
- Year 2023
- Pages 258
- Publisher Taylor & Francis Ltd
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