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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 14 | Issue 2 | Month- February 2026
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Published Paper Details:
Paper Title
Dental Caries Detection and Classification Using Convolutional Neural Network
Authors
Rutuja Madhukar Kale, Arjumand Masood Khan
Keywords
Dental Caries, Detection, Convolutional Neural Network (CNN), MobileNetV2
Abstract
Dental and oral problems affect 80-90% of the world's population. Oral diseases are frequent due to poverty and unsanitary behaviors, accounting for around 5% of global medical expenditure. Machine learning has made significant contributions to medical research. Dental professionals are tasked with identifying different types of dental problems, while the diagnostic procedure is underway. This paper introduces a convolutional neural network approach for caries detection and classification. we implement a dental caries detection system using a Convolutional Neural Network with the MobileNetV2 architecture for feature extraction. Train a CNN model to classify images into Three categories. These algorithms enable effective diagnosis and treatment of illnesses. We tuned our model and achieved 91% accuracy. Precision, F1-Score and Recall is 90.10%, 89.34%, 90.12%, respectively.
IJCRT's Publication Details
Unique Identification Number - IJCRT2404027
Paper ID - 254769
Page Number(s) - a216-a226
Pubished in - Volume 12 | Issue 4 | April 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rutuja Madhukar Kale, Arjumand Masood Khan, "Dental Caries Detection and Classification Using Convolutional Neural Network", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 4, pp.a216-a226, April 2024, Available at :http://www.ijcrt.org/papers/IJCRT2404027.pdf
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Volume 14 | Issue 2
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February 2026
Volume 14 | Issue 2
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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