Unsupervised tooth segmentation from three dimensional scans of the dental arch using domain adaptation of synthetic data

Domain adaptation techniques can enable training a segmentation deep learning model using synthetically generated 3D jaw scans without requiring human operators annotating the training data.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2024-12-20
DOI
https://doi.org/10.1016/j.ijmedinf.2024.105769
Citations
1
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
0.49
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article

Unsupervised tooth segmentation from three dimensional scans of the dental arch using domain adaptation of synthetic data

Taseef Hasan Farook, Nabeel Mohammed, Saif Ahmed, Faisal Ahmed Sifat et al.
1 citations
International Journal of Medical Informatics
Dental Radiography and Imaging
0.49
article

Unsupervised tooth segmentation from three dimensional scans of the dental arch using domain adaptation of synthetic data

Taseef Hasan Farook, Nabeel Mohammed, Saif Ahmed, Faisal Ahmed Sifat, Md Sahadul Hasan Arian
article en
1 citations

Abstract

Domain adaptation techniques can enable training a segmentation deep learning model using synthetically generated 3D jaw scans without requiring human operators annotating the training data.

International Journal of Medical InformaticsVol. 195
North South University (BD), The University of Adelaide (AU)
Zero hunger
Openalex Percentile: Top 31%
Dental Radiography and Imaging
0.49
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