Differential diagnosis of ameloblastoma and odontogenic keratocyst by machine learning of panoramic radiographs.

Journal: International journal of computer assisted radiology and surgery
PMID: 33547985

Abstract

PURPOSE: The differentiation of the ameloblastoma and odontogenic keratocyst directly affects the formulation of surgical plans, while the results of differential diagnosis by imaging alone are not satisfactory. This paper aimed to propose an algorithm based on convolutional neural networks (CNN) structure to significantly improve the classification accuracy of these two tumors.

Authors

  • Zijia Liu
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Jiannan Liu
    Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zijie Zhou
    Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Qiaoyu Zhang
    Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Hao Wu
    Zhejiang Institute of Tianjin University (Shaoxing), Shaoxing, China.
  • Guangtao Zhai
    Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai, China. zhaiguangtao@sjtu.edu.cn.
  • Jing Han
    Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education; School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.

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