Deep generative models third MICCAI workshop, DGM4MICCAI 2023 : held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023 : proceedings
Methods.- Applications.- Methodology. Causal inference. Latent interpretation. Generative factor analysis.- Mammography. Vessel imaging.- Surgical Videos.
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| Weitere Verfasser: | , , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2024
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| Schriftenreihe: | Lecture notes in computer science
14533 |
| Schlagworte: |
Angewandte Informatik
> COM094000
> COMPUTERS / Computer Science
> COMPUTERS / Computer Vision & Pattern Recognition
> Computer vision
> EDU029090
> EDUCATION / Computers & Technology
> Educational equipment & technology, computer-aided learning (CAL)
> Information technology: general issues
> Lehrmittel, Lerntechnologien, E-Learning
> Machine learning
> Maschinelles Lernen
> Maschinelles Sehen, Bildverstehen
> Konferenzschrift
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| Online Zugang: | Cover Inhaltsverzeichnis |
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| Zusammenfassung: | Methods.- Applications.- Methodology. Causal inference. Latent interpretation. Generative factor analysis.- Mammography. Vessel imaging.- Surgical Videos. This LNCS conference volume constitutes the proceedings of the third MICCAI Workshop, DGM4MICCAI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 2023. The 23 full papers included in this volume were carefully reviewed and selected from 38 submissions. The conference presents topics ranging from methodology, causal inference, latent interpretation, generative factor analysis to applications such as mammography, vessel imaging, and surgical Videos |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | xi, 248 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031537660 978-3-031-53766-0 |