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Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop -

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

Jun Ma, Yuyin Zhou, Bo Wang (Herausgeber)

Buch | Softcover
XII, 248 Seiten
2025
Springer International Publishing (Verlag)
978-3-031-81853-0 (ISBN)
CHF 86,85 inkl. MwSt
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 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.

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Zusatzinfo XII, 248 p. 64 illus., 58 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Technik Elektrotechnik / Energietechnik
Schlagworte Computed Tomograph • Foundation model • Magnetic Resonance Imaging • Medical Image Analysis • Medical Vision • Pathology • Segmentation
ISBN-10 3-031-81853-9 / 3031818539
ISBN-13 978-3-031-81853-0 / 9783031818530
Zustand Neuware
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Buch | Hardcover (2025)
Rheinwerk (Verlag)
CHF 69,85