Ebook: Medical Imaging and Computer-Aided Diagnosis: Proceeding of 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020)
Author: Ruidan Su Han Liu
- Tags: Engineering, Biomedical Engineering, Signal Image and Speech Processing, Image Processing and Computer Vision, Pattern Recognition, Diagnostic Radiology
- Series: Lecture Notes in Electrical Engineering 633
- Year: 2020
- Publisher: Springer Singapore
- Edition: 1st ed.
- Language: English
- pdf
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.