Convolutional neural network-based Parkinson disease classification using SPECT imaging data
In this paper, we used the single-photon emission computerized tomography (SPECT)
imaging technique to visualize the deficiency of dopamine-generated patterns inside the
brain. These patterns are used to establish a patient's disease progression, which helps
distinguish the patients into different categories. Furthermore, we used a convolutional
neural network (CNN) model to classify the patients based on the dopamine level inside the
brain. The dataset used throughout this paper is the Parkinson's progressive markers …
imaging technique to visualize the deficiency of dopamine-generated patterns inside the
brain. These patterns are used to establish a patient's disease progression, which helps
distinguish the patients into different categories. Furthermore, we used a convolutional
neural network (CNN) model to classify the patients based on the dopamine level inside the
brain. The dataset used throughout this paper is the Parkinson's progressive markers …
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