Automatic Segmentation of MR Brain Images With a Convolutional Neural Network
Moeskops, Pim, Viergever, Max A., Mendrik, Adrienne M., de Vries, Linda S., Benders, Manon J. N. L., Isgum, Ivana·2016·IEEE Transactions on Medical Imaging
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- Learning a cortical parcellation of the brain robust to the MRI segmentation with convolutional neural networksBenjamin Thyreau, Yasuyuki Taki · 2020 · Medical Image Analysis
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- Removing segmentation inconsistencies with semi-supervised non-adjacency constraintPierre-Antoine Ganaye, Michaël Sdika, Bill Triggs, Hugues Benoit-Cattin · 2019 · Medical Image Analysis
- Computer-Aided Diagnosis System of Alzheimer’s Disease Based on Multimodal Fusion: Tissue Quantification Based on the Hybrid Fuzzy-Genetic-Possibilistic Model and Discriminative Classification Based on the SVDD ModelLilia Lazli, Mounir Boukadoum, Otmane Aı̈t Mohamed · 2019 · Brain Sciences
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- Holistic decomposition convolution for effective semantic segmentation of medical volume imagesGuodong Zeng, Guoyan Zheng A · 2019 · Medical Image Analysis
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- Using Deep Convolutional Neural Networks for Neonatal Brain Image SegmentationYang Ding, Rolando Acosta, Vicente Enguix, Sabrina Suffren, Janosch Ortmann, David Luck, José Dolz, Gregory Anton Lodygensky · 2020 · Frontiers in Neuroscience
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