Classification of Caries X-Ray Images using Multilayer Perceptron Models Based Shape Features-Reference-Cited by-同舟云学术

Classification of Caries X-Ray Images using Multilayer Perceptron Models Based Shape Features

Published:2022-11-04 Issue: Volume: Page:
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Container-title:2022 IEEE 7th International Conference on Information Technology and Digital Applications (ICITDA)
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Author:

Jusman Yessi¹,Widyaningrum Anna¹,Tyassari Wikan¹,Puspita Sartika²,Saleh Edwyn³

Affiliation:

1. Faculty of Engineering Universitas Muhammadiyah Yogyakarta,Department of Electrical Engineering,D.I. Yogyakarta,Indonesia

2. Dental School, Faculty of Medicine and Health Sciences Universitas Muhammadiyah Yogyakarta,Department of Oral Biology,D.I Yogyakarta,Indonesia

3. Dental School, Faculty of Medicine and Health Sciences Universitas Muhammadiyah Yogyakarta,Department of Oral Surgery,D.I Yogyakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9971149/9971157/09971452.pdf?arnumber=9971452

Reference21 articles.

1. Caries detection enhancement using texture feature maps of intraoral radiographs

2. A new screening method to detect proximal dental caries using fluorescence imaging

3. Edge detection techniques in dental radiographs (Sobel, T1FLS \& IT2FLS);agrawal;International Conference on Communication Networks and Computing,2018

4. Dental Caries Diagnosis and Detection Using Neural Networks: A Systematic Review

5. Four Categories of Human Teeth Based on Biogeography-based Optimization Algorithm and Multilayer Perceptrons

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