Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets
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Title
Automated 2D Slice-Based Skull Stripping Multi-View Ensemble Model on NFBS and IBSR Datasets
Authors
Keywords
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Journal
JOURNAL OF DIGITAL IMAGING
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-01-27
DOI
10.1007/s10278-021-00560-0
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Note: Only part of the references are listed.- State-of-the-Art Traditional to the Machine- and Deep-Learning-Based Skull Stripping Techniques, Models, and Algorithms
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- M3Net: A multi-model, multi-size, and multi-view deep neural network for brain magnetic resonance image segmentation
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- Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
- (2016) Jens Kleesiek et al. NEUROIMAGE
- Resting State Brain Entropy Alterations in Relapsing Remitting Multiple Sclerosis
- (2016) Fuqing Zhou et al. PLoS One
- MRI Segmentation of the Human Brain: Challenges, Methods, and Applications
- (2015) Ivana Despotović et al. Computational and Mathematical Methods in Medicine
- Methods on Skull Stripping of MRI Head Scan Images—a Review
- (2015) P. Kalavathi et al. JOURNAL OF DIGITAL IMAGING
- Automatic Whole Brain MRI Segmentation of the Developing Neonatal Brain
- (2014) Antonios Makropoulos et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI
- (2012) M. Jorge Cardoso et al. NEUROIMAGE
- BEaST: Brain extraction based on nonlocal segmentation technique
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- Skull stripping using graph cuts
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