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基因组学深度学习图像用于区分下巴的纤维骨性病变

A B Zhang1,2,3, P Y Li4, J Xue2,3

  • 1Department of Oral and Maxillofacial Surgery, School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University & Shandong Key Laboratory of Oral Tissue Regeneration & Shandong Engineering Research Center of Dental Materials and Oral Tissue Regeneration & Shandong Provincial Clinical Research Center for Oral Diseases, Jinan, China.

Journal of dental research
|February 24, 2026
PubMed
概括

一个新的深度学习模型准确地区分了纤维骨性病变,如纤维性发育不良 (FD),骨化纤维瘤 (COF) 和骨性发育不良 (COD). 这种人工智能工具在帮助病理学家方面表现有前途,通过在识别这些具有挑战性的病变方面超越人类的准确性.

关键词:
骨硬化 - 骨发育不良症骨化纤维瘤是水泥骨化的纤维瘤.计算病理学计算病理学头骨面部纤维发育不良症通过口腔诊断进行诊断.监督机器学习是指监督机器学习.

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