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A Generative Adversarial Inpainting Network to Enhance Prediction of Periodontal Clinical Attachment Level

2021-12-10

Abstract excerpt

Deep learning algorithms has recently been used to determine clinical attachment levels (CAL) which aid in the diagnosis of periodontal disease. However, the limited field-of-view of dental bitewing x-rays poses a challenge for convolutional neural networks (CNN) because out-of-view anatomy cannot be directly considered. This study presents an inpainting algorithm using generative adversarial networks (GANs) coupl...

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Literature Corpus work
cb3cff2f-120a-5245-adee-0c2bb4271054
DOI
10.21203/rs.3.rs-1094512/v1
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A Generative Adversarial Inpainting Network to Enhance Prediction of Periodontal Clinical Attachment LevelDOI 10.21203/rs.3.rs-1094512/v1
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