Faster Region-Based Convolutional Neural Network in the Classification of Different Parkinsonism Patterns of the Striatum on Maximum Intensity Projection Images of [(18)F]FP-CIT Positron Emission Tomography

The aim of this study was to compare the performance of a deep-learning convolutional neural network (Faster R-CNN) model to detect imaging findings suggestive of idiopathic Parkinson’s disease (PD) based on [(18)F]FP-CIT PET maximum intensity projection (MIP) images versus that of nuclear medicine...

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Detalles Bibliográficos
Autores principales: Choi, Byung Wook, Kang, Sungmin, Kim, Hae Won, Kwon, Oh Dae, Vu, Huy Duc, Youn, Sung Won
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467049/
https://www.ncbi.nlm.nih.gov/pubmed/34573899
http://dx.doi.org/10.3390/diagnostics11091557

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8467049/
https://www.ncbi.nlm.nih.gov/pubmed/34573899
http://dx.doi.org/10.3390/diagnostics11091557

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