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 /
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...
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| Співавтор: | |
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| Інші автори: | , , |
| Формат: | Електронний ресурс eКнига |
| Мова: | Англійська |
| Опубліковано: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
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| Редагування: | 1st ed. 2025. |
| Серія: | Lecture Notes in Computer Science,
15458 |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-3-031-81854-7 |
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| Резюме: | 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. |
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| Фізичний опис: | XII, 248 p. 64 illus., 58 illus. in color. online resource. |
| ISBN: | 9783031818547 |
| ISSN: | 1611-3349 ; |
| DOI: | 10.1007/978-3-031-81854-7 |