TY  - BOOK
AU  - Su,Ruidan
AU  - Zhang,Yu-Dong
AU  - Liu,Han
ED  - SpringerLink (Online service)
TI  - Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021): Medical Imaging and Computer-Aided Diagnosis 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9789811638800
PY  - 2022///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Biomedical engineering
KW  - Signal processing
KW  - Computer vision
KW  - Pattern recognition systems
KW  - Radiology
KW  - Biomedical Engineering and Bioengineering
KW  - Digital and Analog Signal Processing
KW  - Computer Vision
KW  - Automated Pattern Recognition
KW  - Diagnosis -- Data processing -- Congresses
KW  - Diagnostic imaging -- Data processing -- Congresses
N1  - Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others
N2  - 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. Also there will be a special track on computer-aided diagnosis on COVID-19 by CT and X-rays images. 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.
UR  - https://doi.org/10.1007/978-981-16-3880-0
ER  -