This paper investigates the possibility of using feature extraction with a convolutional neural network for classification of power Doppler ultrasound images of RA.
An accuracy of 75.0 % was achieved for 4-class
classification. An accuracy of 86.9 %, a sensitivity of 87.5 %, and a specificity of 86.4 % was achieved for binary classification.
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