資料來源: Google Book
Machine learning and deep learning techniques for medical science[electronic resource]
- 其他作者: Gayathri Devi, K. G. , Balasubramanian, Kishore. , Ngoc, Le Anh.
- 出版: Boca Raton, FL : CRC Press 2022.
- 版本: 1st ed.
- 稽核項: 1 online resource.
- 叢書名: Artificial intelligence (AI): elementary to advanced practices
- 標題: Machine learning. , Artificial intelligence Medical applications. , Medical technology. , Medical informatics. , Deep learning (Machine learning) , Medical applications. , Artificial intelligence
- ISBN: 1000583368 , 9781000583366
- ISBN: 9781032108827 , 9781032104201
- 試查全文@TNUA:
- 附註: Includes bibliographical references and index.
- 摘要: "This book presents the integration of machine learning and deep learning algorithms that can be applied in the healthcare sector to reduce the time needed by doctors, radiologists, and other medical professionals to analyze, predict, and diagnose conditions with accurate results"--
- 電子資源: https://dbs.tnua.edu.tw/login?url=https://www.taylorfrancis.com/books/9781003217497
- 系統號: 005338646
- 資料類型: 電子書
- 讀者標籤: 需登入
- 引用網址: 複製連結
The application of machine learning is growing exponentially into every branch of business and science, including medical science. This book presents the integration of machine learning (ML) and deep learning (DL) algorithms that can be applied in the healthcare sector to reduce the time required by doctors, radiologists, and other medical professionals for analyzing, predicting, and diagnosing the conditions with accurate results. The book offers important key aspects in the development and implementation of ML and DL approaches toward developing prediction tools and models and improving medical diagnosis. The contributors explore the recent trends, innovations, challenges, and solutions, as well as case studies of the applications of ML and DL in intelligent system-based disease diagnosis. The chapters also highlight the basics and the need for applying mathematical aspects with reference to the development of new medical models. Authors also explore ML and DL in relation to artificial intelligence (AI) prediction tools, the discovery of drugs, neuroscience, diagnosis in multiple imaging modalities, and pattern recognition approaches to functional magnetic resonance imaging images. This book is for students and researchers of computer science and engineering, electronics and communication engineering, and information technology; for biomedical engineering researchers, academicians, and educators; and for students and professionals in other areas of the healthcare sector. Presents key aspects in the development and the implementation of ML and DL approaches toward developing prediction tools, models, and improving medical diagnosis Discusses the recent trends, innovations, challenges, solutions, and applications of intelligent system-based disease diagnosis Examines DL theories, models, and tools to enhance health information systems Explores ML and DL in relation to AI prediction tools, discovery of drugs, neuroscience, and diagnosis in multiple imaging modalities Dr. K. Gayathri Devi is a Professor at the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. Dr. Kishore Balasubramanian is an Assistant Professor (Senior Scale) at the Department of EEE at Dr. Mahalingam College of Engineering & Technology, Tamil Nadu, India. Dr. Le Anh Ngoc is a Director of Swinburne Innovation Space and Professor in Swinburne University of Technology (Vietnam).
來源: Google Book
來源: Google Book
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