Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021)  Medical Imaging and Computer-Aided Diagnosis /  [electronic resource] : 
edited by Ruidan Su, Yu-Dong Zhang, Han Liu. 
 - 1st ed. 2022. 
 - 1 online resource 
 - Lecture Notes in Electrical Engineering,  784  1876-1119 ; .
 - Lecture Notes in Electrical Engineering,  784 .
<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. 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. . 
<br/><br/><label>ISBN: </label>9789811638800 
<br/><br/><label>Standard No.: </label>10.1007/978-981-16-3880-0  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Biomedical engineering.<br/>Signal processing.<br/>Computer vision.<br/>Pattern recognition systems.<br/>Radiology.<br/>Biomedical Engineering and Bioengineering.<br/>Digital and Analog Signal Processing.<br/>Computer Vision.<br/>Automated Pattern Recognition.<br/>Radiology.
<br/><br/><label>Subjects--Index Terms: </label>Diagnosis -- Data processing -- Congresses Diagnostic imaging -- Data processing -- Congresses 
<br/><br/><label>National Library of Medicine Call No.: </label>WN 180