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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Detalles Bibliográficos
Autores principales: Furuhashi, Naoya, Okuhata, Shiho, Kobayashi, Tetsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Japanese Society for Magnetic Resonance in Medicine 2020
Materias:
Major Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203473/
https://www.ncbi.nlm.nih.gov/pubmed/32389928
http://dx.doi.org/10.2463/mrms.mp.2019-0199

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8203473/
https://www.ncbi.nlm.nih.gov/pubmed/32389928
http://dx.doi.org/10.2463/mrms.mp.2019-0199

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