Article

Pano-GAN: A Generative Model for Panoramic Dental Radiographs

2024-10-30

Abstract excerpt

This paper presents the development of a Generative Adversarial Network (GAN) for the generation of synthetic dental panoramic radiographs to address the scarcity of data in dental research and education. A Deep Convolutional GAN (DCGAN) with Wasserstein Loss and Gradient Penalty (WGAN-GP) was trained on a dataset of 2322 radiographs of varying quality. The focus for this study was on the dentoalveolar part of the...

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Literature Corpus work: ceedd077-f954-5e38-be1a-b14f51c6f691
DOI: 10.20944/preprints202410.2374.v1

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