Explore
Low Field Pediatric Brain Magnetic Resonance Image Segmentation and Quality Assurance
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 0 times via unglue.it ebook links.
- 0 - pdf (CC BY) at OAPEN Library.
Keywords
- automatic segmentation
- Classification
- deep leanring
- dual-view learning
- feature learning
- frequency masking
- hippicampi
- Pediatrics
- quality assessment
- 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
- ultra low field magnetic resonance imaging
Links
DOI: 10.1007/978-3-031-83008-2Editions