Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) [[electronic resource] ] : Medical Imaging and Computer-Aided Diagnosis / / edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi
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| Autore: |
Su Ruidan
|
| Titolo: |
Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) [[electronic resource] ] : Medical Imaging and Computer-Aided Diagnosis / / edited by Ruidan Su, Yu-Dong Zhang, Alejandro F. Frangi
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| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (414 pages) |
| Disciplina: | 006 |
| Soggetto topico: | Image processing - Digital techniques |
| Computer vision | |
| Application software | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Computer and Information Systems Applications | |
| Altri autori: |
ZhangYu-Dong
FrangiAlejandro F
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| 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. 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. |
| Titolo autorizzato: | Proceedings of 2023 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2023) |
| ISBN: | 981-9713-35-8 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910842494503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 1166