Paper Title

A Comprehensive Exploration of Neural Networks for Dental Caries Detection

Article Identifiers

Registration ID: IJNRD_214116

Published ID: IJNRD2403294

DOI: Click Here to Get

Authors

Mohammed Shameer N , Melchi Stanes P , Dr.Niruban R

Keywords

Abstract

Dental caries is progressive bacterial infection which is the main cause of tooth lose. This occurs due to poor dental hygiene which also lead to various dental diseases.If caries can be diagnosis in early stage using tele-dentistry system it will great help for child oral care. Because severe form of caries produces infection and pain which may be result of tooth extraction. So early detection and diagnosis of these caries are the major concern for the researchers. Soft computing techniques are prominently used in dentistry which makes diagnosis easy and reduces the diagnosis time. This project aims to detect dental caries using digital color image at an early stage so that the treatment can be performed easily and effectively. This classification also suitable for tele dentistry as tele informatic oral health care system for this proposed work we implemented the deep learning model is convolution neural network (CNN). We have trained deep learning different models of CNN. Training and testing has been performed on binary dataset with caries and without caries images. The classification accuracy of CNN models is noted.

How To Cite

"A Comprehensive Exploration of Neural Networks for Dental Caries Detection", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 3, page no.c780-c787, March-2024, Available :https://ijnrd.org/papers/IJNRD2403294.pdf

Issue

Volume 9 Issue 3, March-2024

Pages : c780-c787

Other Publication Details

Paper Reg. ID: IJNRD_214116

Published Paper Id: IJNRD2403294

Downloads: 000121133

Research Area: Engineering

Country: Thoothukudi, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403294.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403294

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool), Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area