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024 7 $a10.1007/978-3-031-81854-7
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035   $a(DE-He213)978-3-031-81854-7
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101 0 $aeng
135   $aur|||||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aMedical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop $eMedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, Seattle, WA, USA, June 17?21, 2024, Proceedings /$fedited by Jun Ma, Yuyin Zhou, Bo Wang
205   $a1st ed. 2025.
210  1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025.
215   $a1 online resource (453 pages)
225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15458
311 08$a9783031818530 
311 08$a3031818539 
330   $aThis LNCS conference set constitutes the proceedings of the First Medical Image Segmentation Challenge, MedSAM on Laptop 2024, Held in Conjunction with CVPR 2024, in Seattle, WA, USA, held in June 2024. The 16 full papers presented were thoroughly reviewed and selected from the 200 submissions. This challenge aims to prompt the development of universal promotable medical image segmentation foundation models that are deployable on laptops or other edge devices without reliance on GPUs.
410  0$aLecture Notes in Computer Science,$x1611-3349 ;$v15458
606   $aImage processing
606   $aImage Processing
615  0$aImage processing.
615 14$aImage Processing.
676   $a621.382
700   $aMa$b Jun$0642034
701   $aZhou$b Yuyin$01783549
701   $aWang$b Bo$0712665
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a996647864203316
996   $aMedical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop$94316022
997   $aUNISA