2023年国际医学影像与计算机辅助诊断会议论文集

English | 420 pages | Springer; 2024th edition (March 6, 2024) | 981971334X | PDF | 50 Mb

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.

这本书涵盖了几乎所有的医学成像过程中的图像形成方面，包括基于电离辐射的系统（X射线、伽马射线）和非电离技术（超声波、光学、热、磁共振及磁性颗粒成像） alike。此外，它还讨论了计算机辅助检测与诊断（CAD）系统的开发和应用。这本书包含了人工智能领域的先进研究状态的计算机辅助诊断系统。 鉴于其覆盖范围，该书为参与图像形成、实验方法、图像性能、分割、模式识别、特征提取、分类器设计、机器学习/深度学习、放射学基因组学、CAD工作站设计、人机交互、数据库和性能评估的研究人员提供了一个论坛和宝贵的资源。

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