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

• Published in: Expert systems Vol. 38; no. 7
• Main Authors: Umapathy, Snekhalatha, Krishnan, Palani Thanaraj
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.11.2021
• Subjects: Accuracy; Algorithms; Artificial neural networks; Automation; Classification; Classifiers; Clustering; computer‐aided diagnosis; convolution neural network; Deep learning; facial thermogram; Feature extraction; k‐means algorithm; Machine learning; orofacial pain; Pain; Segmentation; Support vector machines; Thermography

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...