Automated detection of orofacial pain from thermograms using machine learning and deep learning approaches

The main objectives of this study are (i) to perform automated segmentation of facial regions from thermograms using k‐means clustering algorithm and to classify the data into normal and orofacial pain (OFP) categories using various machine learning classifiers (ii) to implement the convolutional ne...

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