书目名称 | Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) | 副标题 | Medical Imaging and | 编辑 | Ruidan Su,Yu-Dong Zhang,Alejandro F. Frangi | 视频video | | 概述 | Offers a valuable reference guide in related fields of medical imaging and computer-aided diagnosis (CAD).Interprets current trends in the field and makes them accessible to a broad readership.Include | 丛书名称 | Lecture Notes in Electrical Engineering | 图书封面 |  | 描述 | .This book covers virtually all aspects of image formation in medical imaging, including systems based on ionizing radiation (x-rays, gamma rays) and non-ionizing techniques (ultrasound, optical, thermal, magnetic resonance, and magnetic particle imaging) alike. In addition, it discusses the development and application of computer-aided detection and diagnosis (CAD) systems in medical imaging. This book includes the state-of-the-art research of computer-aided diagnosis systems with aritificial intelligence..Given its coverage, the book provides both a forum and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.. | 出版日期 | Conference proceedings 2024 | 关键词 | Medical Imaging; Computer Aided Diagnosis; Artificial Intelligence; Big data; Machine learning | 版次 | 1 | doi | https://doi.org/10.1007/978-981-97-1335-6 | isbn_softcover | 978-981-97-1337-0 | isbn_ebook | 978-981-97-1335-6Series ISSN 1876-1100 Series E-ISSN 1876-1119 | issn_series | 1876-1100 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
The information of publication is updating
|
|