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Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) [electronic resource] : Medical Imaging and Computer-Aided Diagnosis / edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi.

Contributor(s): Su, Ruidan [editor.] | Zhang, Yu-Dong [editor.] | Frangi, Alejandro F [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Electrical Engineering: 1166Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edition: 1st ed. 2024.Description: XIV, 406 p. 171 illus., 138 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789819713356.Subject(s): Image processing -- Digital techniques | Computer vision | Application software | Computer Imaging, Vision, Pattern Recognition and Graphics | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 006 Online resources: Click here to access online
Contents:
Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others.
In: Springer Nature eBookSummary: 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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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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