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Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 27th International Conference, Marrakesh, Morocco, October 6–10, 2024, Proceedings, Part III /

The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6–10, 2024. MICCAI accepted 857 full papers from 2781 submissions. T...

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Collectivité auteur: SpringerLink (Online service)
Autres auteurs: Linguraru, Marius George (Éditeur intellectuel), Dou, Qi (Éditeur intellectuel), Feragen, Aasa (Éditeur intellectuel), Giannarou, Stamatia (Éditeur intellectuel), Glocker, Ben (Éditeur intellectuel), Lekadir, Karim (Éditeur intellectuel), Schnabel, Julia A. (Éditeur intellectuel)
Format: Électronique eBook
Langue:anglais
Publié: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Édition:1st ed. 2024.
Collection:Lecture Notes in Computer Science, 15003
Sujets:
Image processing > Digital techniques.
Computer vision.
Application software.
Machine learning.
Education > Data processing.
Social sciences > Data processing.
Biomedical engineering.
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computer and Information Systems Applications.
Machine Learning.
Computers and Education.
Computer Application in Social and Behavioral Sciences.
Biomedical Engineering and Bioengineering.
Accès en ligne:https://doi.org/10.1007/978-3-031-72384-1
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Résumé:The 12-volume set LNCS 15001 - 15012 constitutes the proceedings of the 27th International Conferenc on Medical Image Computing and Computer Assisted Intervention, MICCAI 2024, which took place in Marrakesh, Morocco, during October 6–10, 2024. MICCAI accepted 857 full papers from 2781 submissions. They focus on neuroimaging; image registration; computational pathology; computer aided diagnosis, treatment response, and outcome prediction; image guided intervention; visualization; surgical planning, and surgical data science; image reconstruction; image segmentation; machine learning; etc.
Description matérielle:XLVI, 784 p. 239 illus., 228 illus. in color. online resource.
ISBN:9783031723841
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-72384-1

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