Unified Deep Learning-Based Mouse Brain MR Segmentation: Template-Based Individual Brain Positron Emission Tomography Volumes-of-Interest Generation Without Spatial Normalization in Mouse Alzheimer Model

Although skull-stripping and brain region segmentation are essential for precise quantitative analysis of positron emission tomography (PET) of mouse brains, deep learning (DL)-based unified solutions, particularly for spatial normalization (SN), have posed a challenging problem in DL-based image pr...

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Detalles Bibliográficos
Autores principales: Seo, Seung Yeon, Kim, Soo-Jong, Oh, Jungsu S., Chung, Jinwha, Kim, Seog-Young, Oh, Seung Jun, Joo, Segyeong, Kim, Jae Seung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931825/
https://www.ncbi.nlm.nih.gov/pubmed/35309883
http://dx.doi.org/10.3389/fnagi.2022.807903

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931825/
https://www.ncbi.nlm.nih.gov/pubmed/35309883
http://dx.doi.org/10.3389/fnagi.2022.807903

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