Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin

Dental disease has become all too common in today’s fast-paced environment. Other thanthat, dental covers many things in the mouth such as the jaw, gums, teeth, and many more. Dental diseases include dental caries (tooth decay), periodontal diseases, tooth loss, oral malignancies, and many others. A...

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Main Author: Kamallul Ariffin, Faiznur
Format: Thesis
Language:English
Published: 2024
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Online Access:https://ir.uitm.edu.my/id/eprint/95551/1/95551.pdf
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spelling my-uitm-ir.955512024-05-31T01:45:17Z Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin 2024 Kamallul Ariffin, Faiznur Neural networks (Computer science) Dental disease has become all too common in today’s fast-paced environment. Other thanthat, dental covers many things in the mouth such as the jaw, gums, teeth, and many more. Dental diseases include dental caries (tooth decay), periodontal diseases, tooth loss, oral malignancies, and many others. All these diseases will have a negative impact on persons who suffer from toothache. Aside from that, because the dental disease is placedin the person’s mouth, it is difficult to notice. As a result, natural eyes cannot be used andmust be replaced by medical tools. Because of that, the assistance of a dentist is critical. Indeed, due to technology nowadays, dental diseases may now be detected using Convolutional Neural Networks (CNN). Convolutional Neural Networks (CNN) are a type of artificial neural network that is commonly used in the field of Artificial Intelligence (AI). Many types of algorithms can be used for detection such as Support Vector Machines (SVM), Recurrent Neural Networks (RNNs), and many more but CNN shows the best result and accuracy which is 99%. 2024 Thesis https://ir.uitm.edu.my/id/eprint/95551/ https://ir.uitm.edu.my/id/eprint/95551/1/95551.pdf text en public degree Universiti Teknologi MARA, Terengganu College of Computing, Informatics and Media Mohamad, Norizan
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Mohamad, Norizan
topic Neural networks (Computer science)
spellingShingle Neural networks (Computer science)
Kamallul Ariffin, Faiznur
Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin
description Dental disease has become all too common in today’s fast-paced environment. Other thanthat, dental covers many things in the mouth such as the jaw, gums, teeth, and many more. Dental diseases include dental caries (tooth decay), periodontal diseases, tooth loss, oral malignancies, and many others. All these diseases will have a negative impact on persons who suffer from toothache. Aside from that, because the dental disease is placedin the person’s mouth, it is difficult to notice. As a result, natural eyes cannot be used andmust be replaced by medical tools. Because of that, the assistance of a dentist is critical. Indeed, due to technology nowadays, dental diseases may now be detected using Convolutional Neural Networks (CNN). Convolutional Neural Networks (CNN) are a type of artificial neural network that is commonly used in the field of Artificial Intelligence (AI). Many types of algorithms can be used for detection such as Support Vector Machines (SVM), Recurrent Neural Networks (RNNs), and many more but CNN shows the best result and accuracy which is 99%.
format Thesis
qualification_level Bachelor degree
author Kamallul Ariffin, Faiznur
author_facet Kamallul Ariffin, Faiznur
author_sort Kamallul Ariffin, Faiznur
title Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin
title_short Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin
title_full Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin
title_fullStr Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin
title_full_unstemmed Dental disease detection using Convolutional Neural Network (CNN) / Faiznur Kamallul Ariffin
title_sort dental disease detection using convolutional neural network (cnn) / faiznur kamallul ariffin
granting_institution Universiti Teknologi MARA, Terengganu
granting_department College of Computing, Informatics and Media
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/95551/1/95551.pdf
_version_ 1804889964429705216