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

doi:10.1007/978-3-031-83008-2

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https://library.oapen.org/bitstream/20.500.12657/99927/1/9783031830082.pdf

Contributor(s)

Lepore, Natasha (editor)

Linguraru, Marius George (editor)

Collection

Wellcome

Language

English

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Abstract

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.

URI

https://directory.doabooks.org/handle/20.500.12854/157382

Keywords

ultra low field magnetic resonance imaging; pediatrics; Quality assessment; Automatic segmentation; hippicampi; deep leanring; feature learning; dual-view learning; frequency masking; classification; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence; thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning