A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei

Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorders. However, most existing deep learning based approaches in neuroimaging do not investigate the specific difficulties t...

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Detalles Bibliográficos
Autores principales: Liu, Yilin, Nacewicz, Brendon M., Zhao, Gengyan, Adluru, Nagesh, Kirk, Gregory R., Ferrazzano, Peter A., Styner, Martin A., Alexander, Andrew L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253589/
https://www.ncbi.nlm.nih.gov/pubmed/32508558
http://dx.doi.org/10.3389/fnins.2020.00260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7253589/
https://www.ncbi.nlm.nih.gov/pubmed/32508558
http://dx.doi.org/10.3389/fnins.2020.00260

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