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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 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Medical image segmentation foundation models/ edited by Jun Ma, Yuyin Zhou, Bo Wang.
Reminder of title:	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 /
remainder title:	MedSAM on Laptop 2024
other author:	Ma, Jun.
corporate name:	Workshop on the Preservation of Stability under Discretization
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xii, 248 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Image segmentation - Congresses. -
Online resource:	https://doi.org/10.1007/978-3-031-81854-7
ISBN:	9783031818547

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 /
Medical image segmentation foundation modelsCVPR 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 /[electronic resource] :MedSAM on Laptop 2024edited by Jun Ma, Yuyin Zhou, Bo Wang. - Cham :Springer Nature Switzerland :2025. - xii, 248 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,154581611-3349 ;. - Lecture notes in computer science ;6140..

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.

ISBN: 9783031818547

Standard No.: 10.1007/978-3-031-81854-7doiSubjects--Topical Terms:

1487803
Image segmentation
--Congresses.

LC Class. No.: RC78.7.D53

Dewey Class. No.: 616.0754

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 /
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