Obálka

Medical Image Learning with Limited and Noisy Data Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings /

This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 24 full papers presented were...

Celý popis

Uloženo v:
Podrobná bibliografie
Korporativní autor: SpringerLink (Online service)
Další autoři: Xue, Zhiyun (Editor), Antani, Sameer (Editor), Zamzmi, Ghada (Editor), Yang, Feng (Editor), Rajaraman, Sivaramakrishnan (Editor), Huang, Sharon Xiaolei (Editor), Linguraru, Marius George (Editor), Liang, Zhaohui (Editor)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Vydání:1st ed. 2023.
Edice:Lecture Notes in Computer Science, 14307
Témata:
Image processing > Digital techniques.
Computer vision.
Computer Imaging, Vision, Pattern Recognition and Graphics.
On-line přístup:https://doi.org/10.1007/978-3-031-44917-8
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:This book consists of full papers presented in the 2nd workshop of ”Medical Image Learning with Noisy and Limited Data (MILLanD)” held in conjunction with the 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023). The 24 full papers presented were carefully reviewed and selected from 38 submissions. The conference focused on challenges and limitations of current deep learning methods applied to limited and noisy medical data and present new methods for training models using such imperfect data.
Fyzický popis:1 online resource (XI, 270 p. 77 illus.). 72 illus. in color.
ISBN:9783031449178
ISSN:1611-3349 ;
DOI:10.1007/978-3-031-44917-8

Podobné jednotky