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A deep learning method for diagnosis of oral potentially malignant disorders.

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Title: A deep learning method for diagnosis of oral potentially malignant disorders.
Authors: Cao YQ; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China; Institute of Wenzhou, Zhejiang University, Wenzhou, China., Zhang JY; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Lu M; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Shi LJ; Department of Oral Medicine, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University, Shanghai Jiao Tong University School of Medicine, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China. Electronic address: drshilinjun@126.com., Dan HX; State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Research Unit of Oral Carcinogenesis and Management, Chinese Academy of Medical Sciences, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China. Electronic address: hxdan@foxmail.com., Zhu FD; Stomatology Hospital, School of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Zhejiang University School of Medicine, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou, 310000, China. Electronic address: zfd@zju.edu.cn., Huang PJ; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Zhang GX; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China., Zhang HJ; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China; Institute of Wenzhou, Zhejiang University, Wenzhou, China., Chen QM; Stomatology Hospital, School of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Zhejiang University School of Medicine, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou, 310000, China.
Source: Journal of dentistry [J Dent] 2026 Apr; Vol. 167, pp. 106138. Date of Electronic Publication: 2025 Sep 26.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 0354422 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-176X (Electronic) Linking ISSN: 03005712 NLM ISO Abbreviation: J Dent Subsets: MEDLINE
Database: MEDLINE Ultimate
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DbLabel: MEDLINE Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A deep learning method for diagnosis of oral potentially malignant disorders.
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  Data: <searchLink fieldCode="AU" term="%22Cao+YQ%22">Cao YQ</searchLink>; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China; Institute of Wenzhou, Zhejiang University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Zhang+JY%22">Zhang JY</searchLink>; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China.<br /><searchLink fieldCode="AU" term="%22Lu+M%22">Lu M</searchLink>; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China.<br /><searchLink fieldCode="AU" term="%22Shi+LJ%22">Shi LJ</searchLink>; Department of Oral Medicine, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University, Shanghai Jiao Tong University School of Medicine, National Center for Stomatology, National Clinical Research Center for Oral Diseases, Shanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, China. Electronic address: drshilinjun@126.com.<br /><searchLink fieldCode="AU" term="%22Dan+HX%22">Dan HX</searchLink>; State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Research Unit of Oral Carcinogenesis and Management, Chinese Academy of Medical Sciences, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China. Electronic address: hxdan@foxmail.com.<br /><searchLink fieldCode="AU" term="%22Zhu+FD%22">Zhu FD</searchLink>; Stomatology Hospital, School of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Zhejiang University School of Medicine, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou, 310000, China. Electronic address: zfd@zju.edu.cn.<br /><searchLink fieldCode="AU" term="%22Huang+PJ%22">Huang PJ</searchLink>; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China.<br /><searchLink fieldCode="AU" term="%22Zhang+GX%22">Zhang GX</searchLink>; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China.<br /><searchLink fieldCode="AU" term="%22Zhang+HJ%22">Zhang HJ</searchLink>; State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China; Institute of Wenzhou, Zhejiang University, Wenzhou, China.<br /><searchLink fieldCode="AU" term="%22Chen+QM%22">Chen QM</searchLink>; Stomatology Hospital, School of Stomatology, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Zhejiang University School of Medicine, Cancer Center of Zhejiang University, Engineering Research Center of Oral Biomaterials and Devices of Zhejiang Province, Hangzhou, 310000, China.
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  Data: <searchLink fieldCode="JN" term="%220354422%22">Journal of dentistry</searchLink> [J Dent] 2026 Apr; Vol. 167, pp. 106138. <i>Date of Electronic Publication: </i>2025 Sep 26.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>0354422 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-176X (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2203005712%22">03005712 </searchLink><i>NLM ISO Abbreviation: </i>J Dent <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1016/j.jdent.2025.106138
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      – Code: eng
        Text: English
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        StartPage: 106138
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      – TitleFull: A deep learning method for diagnosis of oral potentially malignant disorders.
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            NameFull: Cao YQ
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            NameFull: Lu M
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            NameFull: Zhu FD
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            – D: 01
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              Text: 2026 Apr
              Type: published
              Y: 2026
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              Value: 167
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