PanDent: Toward Comprehensive Tooth-Level Structure-Language Consistency in Dental Radiology
arXiv:2607.27378v1 Announce Type: new Abstract: Accurate evaluation of multimodal large language models (MLLMs) in dental panoramic radiography (orthopantomogram, OPG) is limited by the lack of fine-grained, clinically reliable benchmarks that reflect expert interpretation. This work introduces PanDent, a large-scale, clinically grounded OPG benchmark built upon fine-grained, expert-validated tooth-level annotations. The dataset comprises 9,524 high-quality OPGs, each associated with comprehensi...
arXiv cs.CV
·Xiaohan Li, Xinyu Liu, Chang Liu, Sum Wing Au Yeung, Jun Liu, Yixuan Yuan, Hui Chen
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