Deep learning only by normal brain PET identify unheralded brain anomalies

BACKGROUND: Recent deep learning models have shown remarkable accuracy for the diagnostic classification. However, they have limitations in clinical application due to the gap between the training cohorts and real-world data. We aimed to develop a model trained only by normal brain PET data with an...

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Detalles Bibliográficos
Autores principales: Choi, Hongyoon, Ha, Seunggyun, Kang, Hyejin, Lee, Hyekyoung, Lee, Dong Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557913/
https://www.ncbi.nlm.nih.gov/pubmed/31003928
http://dx.doi.org/10.1016/j.ebiom.2019.04.022

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557913/
https://www.ncbi.nlm.nih.gov/pubmed/31003928
http://dx.doi.org/10.1016/j.ebiom.2019.04.022

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