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Titolo: |
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) [[electronic resource] ] : Medical Imaging and Computer-Aided Diagnosis / / edited by Ruidan Su, Yu-Dong Zhang, Han Liu
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Pubblicazione: | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2022 |
Edizione: | 1st ed. 2022. |
Descrizione fisica: | 1 online resource (XIII, 439 p. 204 illus., 151 illus. in color.) |
Disciplina: | 610.28 |
Soggetto topico: | Biomedical engineering |
Signal processing | |
Image processing | |
Speech processing systems | |
Optical data processing | |
Pattern recognition | |
Radiology | |
Biomedical Engineering and Bioengineering | |
Signal, Image and Speech Processing | |
Image Processing and Computer Vision | |
Pattern Recognition | |
Imaging / Radiology | |
Soggetto genere / forma: | Electronic books. |
Persona (resp. second.): | SuRuidan |
ZhangYu-Dong | |
LiuHan | |
Nota di contenuto: | Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others. |
Sommario/riassunto: | 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. . |
Titolo autorizzato: | Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) ![]() |
ISBN: | 981-16-3880-2 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910497091803321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |