Lecture Notes in Electrical Engineering: Medical Imaging and Computer-Aided Diagnosis

Su, Ruidan; Zhang, Yu-Dong; Frangi, Alejandro F.

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.

Details

Published by: Springer

Publication Date: 2024-03-06

Format: Hardcover

ISBN-13: 9789819713349

DOI: 10.1007/978-981-97-1335-6

Dimensions: 235cm x155cm

Pages: 406