Deep generative models 4th MICCAI workshop, DGM4MICCAI 2024 : held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings
This book constitutes the proceedings of the 4th workshop on Deep Generative Models for Medical Image Computing and Computer Assisted Intervention, DGM4MICCAI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024,...
Gespeichert in:
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , , , |
| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Cham
Springer
2025
|
| Schriftenreihe: | Lecture notes in computer science
15224 |
| 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
|
| Online Zugang: | Cover |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Tag hinzufügen 
| Zusammenfassung: | This book constitutes the proceedings of the 4th workshop on Deep Generative Models for Medical Image Computing and Computer Assisted Intervention, DGM4MICCAI 2024, held in conjunction with the 27th International conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, in Marrakesh, Morocco in October 2024. The 21 papers presented here were carefully reviewed and selected from 40 submissions. These papers deal with a broad range of topics, ranging from methodology (such as Causal inference, Latent interpretation, Generative factor analysis) to Applications (such as Mammography, Vessel imaging, Surgical videos and more) |
|---|---|
| Beschreibung: | Literaturangaben |
| Beschreibung: | xi, 224 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031727436 978-3-031-72743-6 |