Intra-YOLO: A Small Object Detection Model for Caries and Molar-Incisor Hypomineralization in Intraoral Photography Based on Transfer Learning with Reinforcement Learning

Fuente: arXiv
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Main Authors: Chwang, Po-Lun, Chang, Po-Yu, Lin, Wen-Liang, Wu, Tung-Sheng, Wang, Min-Ching, Cheng, Yun-Chien
Format: Preprint
Published: 2026
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author Chwang, Po-Lun
Chang, Po-Yu
Lin, Wen-Liang
Wu, Tung-Sheng
Wang, Min-Ching
Cheng, Yun-Chien
author_facet Chwang, Po-Lun
Chang, Po-Yu
Lin, Wen-Liang
Wu, Tung-Sheng
Wang, Min-Ching
Cheng, Yun-Chien
contents This study developed a computer-aided diagnosis (CAD) system for detecting caries and molar-incisor hypomineralization (MIH) in intraoral photographs. These lesions share similar appearances, making clinical differentiation challenging, especially given their small size and variability in imaging conditions.
format Preprint
id arxiv_https___arxiv_org_abs_2605_28157
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Intra-YOLO: A Small Object Detection Model for Caries and Molar-Incisor Hypomineralization in Intraoral Photography Based on Transfer Learning with Reinforcement Learning
Chwang, Po-Lun
Chang, Po-Yu
Lin, Wen-Liang
Wu, Tung-Sheng
Wang, Min-Ching
Cheng, Yun-Chien
Computer Vision and Pattern Recognition
This study developed a computer-aided diagnosis (CAD) system for detecting caries and molar-incisor hypomineralization (MIH) in intraoral photographs. These lesions share similar appearances, making clinical differentiation challenging, especially given their small size and variability in imaging conditions.
title Intra-YOLO: A Small Object Detection Model for Caries and Molar-Incisor Hypomineralization in Intraoral Photography Based on Transfer Learning with Reinforcement Learning
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2605.28157