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Record Nr. |
UNISA996552462603316 |
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Autore |
Kainz Bernhard |
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Titolo |
Simplifying Medical Ultrasound [[electronic resource] ] : 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings / / edited by Bernhard Kainz, Alison Noble, Julia Schnabel, Bishesh Khanal, Johanna Paula Müller, Thomas Day |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (214 pages) |
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Collana |
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Lecture Notes in Computer Science, , 1611-3349 ; ; 14337 |
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Altri autori (Persone) |
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NobleAlison |
SchnabelJulia |
KhanalBishesh |
MüllerJohanna Paula |
DayThomas |
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Disciplina |
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Soggetti |
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Image processing - Digital techniques |
Computer vision |
Computer engineering |
Computer networks |
Artificial intelligence |
Application software |
Computer Imaging, Vision, Pattern Recognition and Graphics |
Computer Engineering and Networks |
Artificial Intelligence |
Computer and Information Systems Applications |
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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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Advanced Imaging, Segmentation, and Ultrasound Techniques -- Predictive Analysis, Learning, and Classification -- Multimodal Imaging, Reconstruction, and Real-time Applications -- Diagnostic Enhancements and Novel Ultrasound Innovations. |
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Sommario/riassunto |
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This book constitutes the proceedings of the 4th International Workshop on Advances in Simplifying Medical UltraSound, ASMUS |
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2023, held in conjunction with MICCAI 2023, the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference took place in Vancouver, BC, Canada, on October 8, 2023. The 19 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: advanced imaging, segmentation, and ultrasound techniques; predictive analysis, learning, and classification; multimodal imaging, reconstruction, and real-time applications; diagnostic enhancements and novel ultrasound innovations. |
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