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| Titolo: |
Medical Image Understanding and Analysis : 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings / / edited by Bartłomiej W. Papież, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble
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| Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Edizione: | 1st ed. 2020. |
| Descrizione fisica: | 1 online resource (XIV, 448 p. 199 illus., 171 illus. in color.) |
| Disciplina: | 616.0754 |
| Soggetto topico: | Optical data processing |
| Machine learning | |
| Application software | |
| Pattern perception | |
| Computers | |
| Education—Data processing | |
| Image Processing and Computer Vision | |
| Machine Learning | |
| Computer Applications | |
| Pattern Recognition | |
| Information Systems and Communication Service | |
| Computers and Education | |
| Persona (resp. second.): | PapieżBartłomiej W |
| NambureteAna I. L | |
| YaqubMohammad | |
| NobleJ. Alison | |
| Note generali: | Includes index. |
| Nota di contenuto: | Image Segmentation -- Image Registration, Reconstruction and Enhancement -- Radiomics, Predictive Models, and Quantitative Imaging Biomarkers -- Ocular Imaging Analysis -- Biomedical Simulation and Modelling. |
| Sommario/riassunto: | This book constitutes the refereed proceedings of the 24th Conference on Medical Image Understanding and Analysis, MIUA 2020, held in July 2020. Due to COVID-19 pandemic the conference was held virtually. The 29 full papers and 5 short papers presented were carefully reviewed and selected from 70 submissions. They were organized according to following topical sections: image segmentation; image registration, reconstruction and enhancement; radiomics, predictive models, and quantitative imaging biomarkers; ocular imaging analysis; biomedical simulation and modelling. |
| Titolo autorizzato: | Medical Image Understanding and Analysis ![]() |
| ISBN: | 3-030-52791-3 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910413441603321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |