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Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop : MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, Seattle, WA, USA, June 17–21, 2024, Proceedings / edited by Jun Ma, Yuyin Zhou, Bo Wang

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Lecture Notes in Computer Science ; 15458Publisher: Cham : Springer Nature Switzerland, 2025Publisher: Cham : Imprint: Springer, 2025Edition: 1st ed. 2025Description: 1 Online-Ressource(XII, 248 p. 64 illus., 58 illus. in color.)ISBN:
  • 9783031818547
Subject(s): Additional physical formats: 9783031818530 | 9783031818554 | Erscheint auch als: 9783031818530 Druck-Ausgabe | Erscheint auch als: 9783031818554 Druck-AusgabeDDC classification:
  • 621.382 23
DOI: DOI: 10.1007/978-3-031-81854-7Online resources: Summary: This LNCS conference set constitutes the proceedings of the First Medical Image Segmentation Challenge, MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, in Seattle, WA, USA, held in June 2024. The 16 full papers presented were thoroughly reviewed and selected from the 200 submissions. This challenge aims to prompt the development of universal promotable medical image segmentation foundation models that are deployable on laptops or other edge devices without reliance on GPUs.PPN: PPN: 1918487502Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC
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