UID:
almahu_9949709319102882
Umfang:
XI, 248 p. 86 illus., 76 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2024.
ISBN:
9783031537677
Serie:
Lecture Notes in Computer Science, 14533
Inhalt:
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.
Anmerkung:
Methods -- Applications -- Methodology. Causal inference. Latent interpretation. Generative factor analysis -- Mammography. Vessel imaging -- Surgical Videos.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031537660
Weitere Ausg.:
Printed edition: ISBN 9783031537684
Sprache:
Englisch
DOI:
10.1007/978-3-031-53767-7
URL:
https://doi.org/10.1007/978-3-031-53767-7