00878nam0-22002771i-450 99000481725040332120180302102746.000048172519990530d1971----km-y0itay50------bagerDEy-------001yyFunktionen des Dialekts in der italienischen GegenwartsliteraturPier Paolo Pasolinivon Karin von HoferMünchenFink1971285 p.24 cmRomanica Monacensia6Pasolini, Pier PaoloLinguaElementi dialettali853.91422Hofer,Karin von0ITUNINARICAUNIMARCBK990004817250403321853.914 PASO/S 17Ist.f.m.29998FLFBCFLFBCFunktionen des Dialekts in der italienischen Gegenwartsliteratur142660UNINA02288nam 22005175 450 991098338460332120250219115242.09783031818547303181854710.1007/978-3-031-81854-7(CKB)37627887700041(MiAaPQ)EBC31911804(Au-PeEL)EBL31911804(OCoLC)1500765895(DE-He213)978-3-031-81854-7(EXLCZ)993762788770004120250219d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierMedical 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 Wang1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (453 pages)Lecture Notes in Computer Science,1611-3349 ;154589783031818530 3031818539 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.Lecture Notes in Computer Science,1611-3349 ;15458Image processingImage ProcessingImage processing.Image Processing.621.382Ma Jun642034Zhou Yuyin1783549Wang Bo712665MiAaPQMiAaPQMiAaPQBOOK9910983384603321Medical Image Segmentation Foundation Models. CVPR 2024 Challenge: Segment Anything in Medical Images on Laptop4316022UNINA