Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023)  Medical Imaging and Computer-Aided Diagnosis /  [electronic resource] : 
edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi. 
 - 1st ed. 2024. 
 - XIV, 406 p. 171 illus., 138 illus. in color.  online resource. 
 - Lecture Notes in Electrical Engineering,  1166  1876-1119 ; .
 - Lecture Notes in Electrical Engineering,  1166 .
<br/><br/>Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9789819713356 
<br/><br/><label>Standard No.: </label>10.1007/978-981-97-1335-6  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Image processing--Digital techniques.<br/>Computer vision.<br/>Application software.<br/>Computer Imaging, Vision, Pattern Recognition and Graphics.<br/>Computer and Information Systems Applications.
<br/><br/><label>LC Class. No.: </label>TA1501-1820 TA1634 
<br/><br/><label>Dewey Class. No.: </label>006