Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) [electronic resource] : Medical Imaging and Computer-Aided Diagnosis /
Material type: TextSeries: Lecture Notes in Electrical Engineering ; 1166Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XIV, 406 p. 171 illus., 138 illus. in color. online resourceContent type:- text
- computer
- online resource
- 9789819713356
- 006 23
- TA1501-1820
- TA1634
Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.
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.
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