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Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts

Xinjia Cai Heyu Zhang Yanjin Wang Jianyun Zhang Tiejun Li

International Journal of Oral Science2024，Vol.16Issue(2)：P.349-358,10.

International Journal of Oral Science2024，Vol.16Issue(2)：P.349-358,10.DOI:10.1038/s41368-024-00287-y

Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts

Xinjia Cai ¹Heyu Zhang ²Yanjin Wang ³Jianyun Zhang ⁴Tiejun Li⁴

作者信息

1. Department of Oral Pathology,Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Research Center of Oral Biomaterials and Digital Medical Devices,Beijing,China
2. Central Laboratory,Peking University School and Hospital of Stomatology,Beijing,China
3. Department of Oral Pathology,Shanghai Stomatological Hospital&School of Stomatology,Fudan University,Shanghai,China
4. Department of Oral Pathology,Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Research Center of Oral Biomaterials and Digital Medical Devices,Beijing,China Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions,Chinese Academy of Medical Sciences(2019RU034),Beijing,China
折叠

摘要

关键词

diagnosis/pathology/prognosis

分类

医药卫生

引用本文复制引用

Xinjia Cai,Heyu Zhang,Yanjin Wang,Jianyun Zhang,Tiejun Li..Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts[J].International Journal of Oral Science,2024,16(2):P.349-358,10.

基金项目

supported by the National Nature Science Foundation of China(81671006,81300894) （81671006,81300894）

CAMS Innovation Fund for Medical Sciences(2019-I2M-5-038) （2019-I2M-5-038）

National Clinical Key Discipline Construction Project(PKUSSNKP202102). （PKUSSNKP202102）

International Journal of Oral Science

OACSTPCD

ISSN：1674-2818

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