most citedDetection Transformer for Teeth Detection, Segmentation, and Numbering in Oral Rare Diseases: Focus on Data Augmentation and Inpainting Techniques

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.CV2024★ 3 cited

Detection Transformer for Teeth Detection, Segmentation, and Numbering in Oral Rare Diseases: Focus on Data Augmentation and Inpainting Techniques

Hocine Kadi, Théo Sourget, Marzena Kawczynski +3

In this work, we focused on deep learning image processing in the context of oral rare diseases, which pose challenges due to limited data availability. A crucial step involves tee…