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

Faster Region-Based Convolutional Neural Network in the Classification of Different Parkinsonism Patterns of the Striatum on Maximum Intensity Projection Images of [<sup>18</sup>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 [<sup>18</sup>F]FP-CIT PET maximum intensity projection (MIP) images versus that...

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Bibliographic Details
Main Authors: Byung Wook Choi, Sungmin Kang, Hae Won Kim, Oh Dae Kwon, Huy Duc Vu, Sung Won Youn
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Diagnostics
Subjects:
artificial intelligence
dopamine transporter
deep learning
Parkinson’s disease
positron emission tomography
Online Access:https://www.mdpi.com/2075-4418/11/9/1557

Internet

https://www.mdpi.com/2075-4418/11/9/1557

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