DENTALMODELSEG: FULLY AUTOMATED SEGMENTATION OF UPPER AND LOWER 3D INTRA-ORAL SURFACES.
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SUBMITTER: Leclercq M
PROVIDER: S-EPMC10949221 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature
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DENTALMODELSEG: FULLY AUTOMATED SEGMENTATION OF UPPER AND LOWER 3D INTRA-ORAL SURFACES.
Leclercq Mathieu M Ruellas Antonio A Gurgel Marcela M Yatabe Marilia M Bianchi Jonas J Cevidanes Lucia L Styner Martin M Paniagua Beatriz B Prieto Juan Carlos JC
Proceedings. IEEE International Symposium on Biomedical Imaging 20230401
In this paper, we present a deep learning-based method for surface segmentation. This technique consists of acquiring 2D views and extracting features from the surface such as the normal vectors. The rendered images are analyzed with a 2D convolutional neural network, such as a UNET. We test our method in a dental application for the segmentation of dental crowns. The neural network is trained for multi-class segmentation, using image labels as ground truth. A 5-fold cross-validation was perform ...[more]
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