| 书目名称 | Deep Learning in Healthcare |
| 副标题 | Paradigms and Applic |
| 编辑 | Yen-Wei Chen,Lakhmi C. Jain |
| 视频video | |
| 概述 | Discusses the advances and future of deep learning in medicine and health care.Includes a comprehensiveCC introduction to deep learning.Focuses on medical imaging and computer-aided diagnosis |
| 丛书名称 | Intelligent Systems Reference Library |
| 图书封面 |  |
| 描述 | .This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems...Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data...Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.. . |
| 出版日期 | Book 2020 |
| 关键词 | Deep Learning; Machine Learning; Medical Image Analysis; Segmentation; Classification; Detection; Computer |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-32606-7 |
| isbn_softcover | 978-3-030-32608-1 |
| isbn_ebook | 978-3-030-32606-7Series ISSN 1868-4394 Series E-ISSN 1868-4408 |
| issn_series | 1868-4394 |
| copyright | Springer Nature Switzerland AG 2020 |
发表于 2025-3-21 17:10:08
