Su / Zhang / Frangi

Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)

Medical Imaging and Computer-Aided Diagnosis

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eBook. PDF

eBook

2024

406 S. XIV, 406 p. 171 illus., 138 illus. in color..

In englischer Sprache

Springer Nature Singapore. ISBN 9789819713356

Das Werk ist Teil der Reihe: Lecture Notes in Electrical Engineering

Produktbeschreibung

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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