Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average pooling

Author:

Li Zhi1ORCID,Wang Shui‐Hua23,Fan Rui‐Rui4,Cao Gang1,Zhang Yu‐Dong25ORCID,Guo Ting4

Affiliation:

1. Department of Stomatology, Jinling Hospital, School of MedicineNanjing University Nanjing Jiangsu China

2. School of Computer Science and TechnologyHenan Polytechnic University Jiaozuo Henan China

3. Department of Electrical EngineeringThe City College of New York, CUNY New York New York

4. Nanjing Stomatological HospitalMedical School of Nanjing University Nanjing Jiangsu China

5. Department of InformaticsUniversity of Leicester Leicester UK

Funder

Natural Science Foundation of Jiangsu Province

Six Talent Peaks Project in Jiangsu Province

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Reference23 articles.

1. Evaluation of teeth development in unilateral cleft lip and palate patients in mixed dentition by using medical image control systems;Gezgin O;Niger J Clin Pract,2018

2. Gender influence on the number of roots and root canal system configuration in human permanent teeth of a Portuguese subpopulation;Martins JNR;Quintessence Int,2018

3. Diagnosis of Mesiodistal Vertical Root Fractures in Teeth with Metal Posts: Influence of Applying Filters in Cone-beam Computed Tomography Images at Different Resolutions

4. Kernel‐based anatomically‐aided diffuse optical tomography reconstruction;Baikejiang R;Biomed Phys Eng Exp,2017

5. Machine Classification of Dental Images with Visual Search

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