Deep learning-based automated segmentation of eight brain anatomical regions using head CT images in PET/CT

OBJECTIVE: We aim to propose a deep learning-based method of automated segmentation of eight brain anatomical regions in head computed tomography (CT) images obtained during positron emission tomography/computed tomography (PET/CT) scans. The brain regions include basal ganglia, cerebellum, hemisphe...

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Detalles Bibliográficos
Autores principales: Wang, Tong, Xing, Haiqun, Li, Yige, Wang, Sicong, Liu, Ling, Li, Fang, Jing, Hongli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134669/
https://www.ncbi.nlm.nih.gov/pubmed/35614382
http://dx.doi.org/10.1186/s12880-022-00807-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9134669/
https://www.ncbi.nlm.nih.gov/pubmed/35614382
http://dx.doi.org/10.1186/s12880-022-00807-4

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