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

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 p...

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Bibliographische Detailangaben
Hauptverfasser: Lepore, Natasha, Linguraru, Marius George
Format: E-Book
Sprache:Englisch
Veröffentlicht: Cham Springer Nature 2025
Springer
Ausgabe:1
Schriftenreihe:Lecture Notes in Computer Science
Schlagworte:
Artificial intelligence
Automatic segmentation
classification
Computer science
Computing and Information Technology
deep leanring
dual-view learning
feature learning
frequency masking
hippicampi
Machine learning
pediatrics
Quality assessment
ultra low field magnetic resonance imaging
ISBN:9783031830105, 3031830083, 3031830105, 9783031830082
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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:9783031830105
3031830083
3031830105
9783031830082
DOI:10.1007/978-3-031-83008-2