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Record Nr. |
UNINA9910743262803321 |
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Titolo |
Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2021) : Medical Imaging and Computer-Aided Diagnosis / / edited by Ruidan Su, Yu-Dong Zhang, Han Liu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
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ISBN |
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981-16-3879-9 |
981-16-3880-2 |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (XIII, 439 p. 204 illus., 151 illus. in color.) |
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Collana |
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Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 784 |
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Disciplina |
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Soggetti |
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Biomedical engineering |
Signal processing |
Computer vision |
Pattern recognition systems |
Radiology |
Biomedical Engineering and Bioengineering |
Digital and Analog Signal Processing |
Computer Vision |
Automated Pattern Recognition |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Medical Imaging -- Computer Aided Detection/Diagnosis -- Machine learning and Deep learning -- Others. |
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Sommario/riassunto |
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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 |
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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. . |
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