Crossref DOIMemberCiteFactoropen accessissn
SJIF Impact Factor 8.659 | ISSN: 2582-3930
IJSREM Logo

International Journal of Scientific Research in Engineering and Management

(Gateway to Global Scholars - An International, Scholarly, Multi-Disciplinary, Open Access Journal)

Peer-Reviewed Journal Designed to Meet UGC's Quality Parameters

HomeCurrent IssuePast IssuesPay OnlineConferencesEditorial BoardAbout UsContact Us
IJSREM

Loading article...

Follow Us

  • Google Scholar
  • ResearchGate
  • Academia.edu
  • Mendeley
  • LinkedIn
  • Facebook
  • Instagram

Journal Policies

  • Peer Review Policy
  • Publication Ethics
  • Copyright Infringement
  • Refund & Cancellation Policy
  • Terms and Conditions
  • Privacy Policy

Journal Identifiers & Licenses

  • ISSN Verified: 2582-3930ISSN Verified: 2582-3930
  • Crossref DOI: 10.55041Crossref DOI: 10.55041
  • SJIF Ranking: 08.659SJIF Ranking: 08.659
  • Licensed under CC BY 4.0Licensed under CC BY 4.0
  • ISO Certification: 9001:2015ISO Certification: 9001:2015
  • Indexed & Cited In: Google ScholarIndexed & Cited In: Google Scholar

Contact Us

International Journal of Scientific Research in Engineering and Management (IJSREM)

#62/1, New No 7, 1st Cross, 2nd Main, Ganganagar, R T Nagar, Bangalore North, Bangalore, Karnataka, India – 560032
[email protected]+91 93911 67991
logos
logos
Working Hours

Mon – Sat: 9:00 AM – 6:00 PM

Sunday: 10:00 AM – 4:00 PM

+91 93911 67991

© 2026 IJSREM – International Journal of Scientific Research in Engineering and Management. This is an open-access journal. Articles are published under the Creative Commons Attribution (CC BY 4.0) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

DisclaimerPrivacy PolicyTerms and Conditions
ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM26344

Teeth Problem Detection Using Deep Learning and Image Processing Technology

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM26344

Volume:

7 |

10 |

Oct 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

Share this article:

Authors

PAAB

Prof. A. A. Bhise

RS

Rutuja Salgar

C

ChaitanayaSali

AP

Abhishek Pawar

TH

Tanwi Hable

Author Services & Downloads

Full Articles

Abstract

Dentists often rely on dental X-rays to spot cavities, bone loss, and hidden dental issues not visible to the naked eye. These X-rays help catch problems early and create effective treatment plans. We look at three types of X-rays: bitewing, periapical, and panoramic. Bitewing X-rays show part of the upper and lower teeth and help find bone density changes due to gum disease. Periapical X-rays show all teeth and help check the bone and roots in the upper and lower jaw. We also use technology to determine a patient’s age and detect early signs of oral cancer from these X-rays. This survey summarizes how technology improves dental care by helping dentists diagnose and treat oral health problems effectively. It’s a win-win for both dentists and patients.

KEYWORDS

Deep Learning Image Processing X-rays Dentists Cavities Age Detection Oral Cancer disease CNN

Cite This Article

Prof. A. A. Bhise, Rutuja Salgar, ChaitanayaSali, Abhishek Pawar, Tanwi Hable, "Teeth Problem Detection Using Deep Learning and Image Processing Technology," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 10, Oct 2023. https://doi.org/10.55041/IJSREM26344

Full Article/Conclusion

References

Editorial & Review Transparency

Publication Date

10/28/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

Documents

Review Report (Confidential)
Copyright Form (Office)

Article Metrics & Impact

Article Views

0

Total views since publication

PDF Downloads

1

Total downloads since publication

Geographic Reach

5

Indexing, Archiving & Preservation

Google Scholar
Academia
ResearchGate
Crossref
SSRN
Semantic Scholar
Thomson Reuters
WorldCat
Mendeley
OpenAlex
EBSCO
Zenodo

Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.

Ethics, Compliance & Transparency

Plagiarism Screening

This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.

Conflict of Interest

The authors declare no conflict of interest related to this research work.

Funding Information

No funding information available for this research.

Similar & Recommended Articles

Similar Articles by Topic

Related research in the same subject area

Loading similar articles...