Lecture Notes in Electrical Engineering: Proceedings of 2022 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2022)

Su, Ruidan; Zhang, Yudong; Liu, Han; F Frangi, Alejandro

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.  

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: 2024-12-22

Format: Paperback

ISBN-13: 9789811667770

DOI: 10.1007/978-981-16-6775-6

Dimensions: 235cm x155cm

Pages: 584