Impact of data augmentation and backbone architecture selection on dental caries segmentation in panoramic radiographs: a comparative deep learning study using pre-trained U-Net models.
- DOI
- 10.1007/s44445-026-00211-6
- Published
- 2026 Jul 7
- Container
- The Saudi dental journal
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s44445-026-00211-6,
title = {Impact of data augmentation and backbone architecture selection on dental caries segmentation in panoramic radiographs: a comparative deep learning study using pre-trained U-Net models.},
author = {Asghari E and Ostadhassan R and Asghari A and Raeisi Z and Razavi N and Najafzadeh H},
year = {2026},
journal = {The Saudi dental journal},
doi = {10.1007/s44445-026-00211-6},
url = {https://doi.org/10.1007/s44445-026-00211-6}
}RIS
TY - JOUR TI - Impact of data augmentation and backbone architecture selection on dental caries segmentation in panoramic radiographs: a comparative deep learning study using pre-trained U-Net models. AU - Asghari E AU - Ostadhassan R AU - Asghari A AU - Raeisi Z AU - Razavi N AU - Najafzadeh H PY - 2026 JO - The Saudi dental journal DO - 10.1007/s44445-026-00211-6 UR - https://doi.org/10.1007/s44445-026-00211-6 ER -
APA
E, A., R, O., A, A., Z, R., N, R., & H, N. (2026). Impact of data augmentation and backbone architecture selection on dental caries segmentation in panoramic radiographs: a comparative deep learning study using pre-trained U-Net models.. The Saudi dental journal. https://doi.org/10.1007/s44445-026-00211-6
Source records
- pubmed · retrieved 2026-09-26T19:45:21.037Z