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Low field pediatric brain magnetic resonance image segmentation and quality assurance = first MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Low field pediatric brain magnetic resonance image segmentation and quality assurance/ edited by Natasha Lepore, Marius George Linguraru.
其他題名:	first MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
其他題名:	LISA 2024
其他作者:	Linguraru, Marius George.
團體作者:	Workshop on the Preservation of Stability under Discretization
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	ix, 77 p. :ill. (chiefly color), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Machine Learning. -
電子資源:	https://doi.org/10.1007/978-3-031-83008-2
ISBN:	9783031830082

Low field pediatric brain magnetic resonance image segmentation and quality assurance = first MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
Low field pediatric brain magnetic resonance image segmentation and quality assurancefirst MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /[electronic resource] :LISA 2024edited by Natasha Lepore, Marius George Linguraru. - Cham :Springer Nature Switzerland :2025. - ix, 77 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,155151611-3349 ;. - Lecture notes in computer science ;6140..

Open access.

This open access LNCS volume 15515 constitutes the refereed proceedings of the First MICCAI Challenge on Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance, LISA 2024, held in conjunction with MICCAI 2024, in Marrakesh, Morocco, in October 2024. The 6 full papers presented were carefully reviewed and selected from 8 submissions. This MICCAI Challenge focuses on the development and evaluation of automatic image analysis and machine learning algorithms and Ultra-low-field brain imaging has the potential to become a transformative tool for both clinical and research applications.

ISBN: 9783031830082

Standard No.: 10.1007/978-3-031-83008-2doiSubjects--Topical Terms:

1137723
Machine Learning.

LC Class. No.: RJ488.5.M33

Dewey Class. No.: 618.928047548

Low field pediatric brain magnetic resonance image segmentation and quality assurance = first MICCAI Challenge, LISA 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024 : proceedings /
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