TY  - BOOK
AU  - Su,Ruidan
AU  - Zhang,Yu-Dong
AU  - Frangi,Alejandro F.
ED  - SpringerLink (Online service)
TI  - Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023): Medical Imaging and Computer-Aided Diagnosis 
T2  - Lecture Notes in Electrical Engineering,
SN  - 9789819713356
AV  - TA1501-1820 
U1  - 006 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Image processing
KW  - Digital techniques
KW  - Computer vision
KW  - Application software
KW  - Computer Imaging, Vision, Pattern Recognition and Graphics
KW  - Computer and Information Systems Applications
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. 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-1335-6
ER  -