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A Robust and Accurate Deep-learning-based Method for the Segmentation of Subcortical Brain: Cross-dataset Evaluation of Generalization Performance
PURPOSE: To analyze subcortical brain volume more reliably, we propose a deep learning segmentation method of subcortical brain based on magnetic resonance imaging (MRI) having high generalization performance, accuracy, and robustness. METHODS: First, local images of three-dimensional (3D) bounding...
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| izdano v: | Magn Reson Med Sci |
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| Main Authors: | , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Japanese Society for Magnetic Resonance in Medicine
2020
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8203473/ https://ncbi.nlm.nih.gov/pubmed/32389928 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2463/mrms.mp.2019-0199 |
| Oznake: |
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