Cargando…
Specific Binding Ratio Estimation of [(123)I]-FP-CIT SPECT Using Frontal Projection Image and Machine Learning
This study aimed to develop a new convolutional neural network (CNN) method for estimating the specific binding ratio (SBR) from only frontal projection images in single-photon emission-computed tomography using [(123)I]ioflupane. We created five datasets to train two CNNs, LeNet and AlexNet: (1) 12...
Autores principales: | Kita, Akinobu, Okazawa, Hidehiko, Sugimoto, Katsuya, Kosaka, Nobuyuki, Kidoya, Eiji, Tsujikawa, Tetsuya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137239/ https://www.ncbi.nlm.nih.gov/pubmed/37189472 http://dx.doi.org/10.3390/diagnostics13081371 |
Ejemplares similares
-
A Novel Automatic Approach for Calculation of the Specific Binding Ratio in [I-123]FP-CIT SPECT
por: Rahman, Mahmudur G. M., et al.
Publicado: (2020) -
Count-based method for specific binding ratio calculation in [I-123]FP-CIT SPECT analysis
por: Rahman, Mahmudur G. M., et al.
Publicado: (2018) -
Clinicopathological and (123)I‐FP‐CIT SPECT correlations in patients with dementia
por: Jung, Youngsin, et al.
Publicado: (2018) -
Imaging of serotonin transporters with [(123)I]FP-CIT SPECT in the human hypothalamus
por: Borgers, Anke J, et al.
Publicado: (2013) -
Focal (123)I-FP-CIT SPECT Abnormality in Midbrain Vascular Parkinsonism
por: Solla, Paolo, et al.
Publicado: (2015)