Automated identification of early to mid-stage Parkinson's disease using deep convolutional neural networks on static facial images.

Inception-v4 consistently ranked last, with an accuracy of 87.42% and an AUC of 94.24%, and exhibited highly significant disadvantages compared with all other models ( p < 10 − 27).

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