An Artificial Intelligence model for implant segmentation on periapical radiographs
Niha Adnan,
Muhammad Hanif,
Khurram Khan
et al.
Abstract:Objective: To segment dental implants on PA radiographs using a Deep Learning (DL) algorithm. To compare theperformance of the algorithm relative to ground truth determined by the human annotator.Methodology: Three hundred PA radiographs were retrieved from the radiographic database and consequentlyannotated to label implants as well as teeth on the LabelMe annotation software. The dataset was augmented toincrease the number of images in the training data and a total of 1294 images were used to train, validate… Show more
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