Forecasting Teeth Cavities By Convolutional Neural Network

Tiantian Wang; Muhammad Aqeel; Payam Norouzzadeh; Salih Tutun; Eli Snir; Golnesa Rouie Miab; Laila Al Dehailan; Bahareh Rahmani

doi:10.1109/CAI54212.2023.00054

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Oral health is crucial to overall good health, and yet because dental services are expensive, time consuming and stressful for patients, dental problems are often left unaddressed, leading to the need for far more expensive and painful interventions down the road. The main goal of this project is using AI and deep learning to develop software to detect cavities and other dental problems and providing the corresponding app to improve dental health. We applied convolutional neural network (CNN) to find the teeth caries. Canny Edge CNN model performed the best training.

Original language	English
Title of host publication	Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	109-111
Number of pages	3
ISBN (Electronic)	9798350339840
DOIs	https://doi.org/10.1109/CAI54212.2023.00054
State	Published - 2023
Event	2023 IEEE Conference on Artificial Intelligence, CAI 2023 - Santa Clara, United States Duration: Jun 5 2023 → Jun 6 2023

Publication series

Name	Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

Conference

Conference	2023 IEEE Conference on Artificial Intelligence, CAI 2023
Country/Territory	United States
City	Santa Clara
Period	06/5/23 → 06/6/23

Keywords

Augmentation
Convolutional Neural Network
Deep Learning

Access to Document

10.1109/CAI54212.2023.00054

Cite this

Wang, T., Aqeel, M., Norouzzadeh, P., Tutun, S., Snir, E., Miab, G. R., Al Dehailan, L., & Rahmani, B. (2023). Forecasting Teeth Cavities By Convolutional Neural Network. In Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023 (pp. 109-111). (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAI54212.2023.00054

@inproceedings{e04b2d49e1ef4c5e8d2446631406d07b,

title = "Forecasting Teeth Cavities By Convolutional Neural Network",

abstract = "Oral health is crucial to overall good health, and yet because dental services are expensive, time consuming and stressful for patients, dental problems are often left unaddressed, leading to the need for far more expensive and painful interventions down the road. The main goal of this project is using AI and deep learning to develop software to detect cavities and other dental problems and providing the corresponding app to improve dental health. We applied convolutional neural network (CNN) to find the teeth caries. Canny Edge CNN model performed the best training.",

keywords = "Augmentation, Convolutional Neural Network, Deep Learning",

author = "Tiantian Wang and Muhammad Aqeel and Payam Norouzzadeh and Salih Tutun and Eli Snir and Miab, \{Golnesa Rouie\} and \{Al Dehailan\}, Laila and Bahareh Rahmani",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Artificial Intelligence, CAI 2023 ; Conference date: 05-06-2023 Through 06-06-2023",

year = "2023",

doi = "10.1109/CAI54212.2023.00054",

language = "English",

series = "Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "109--111",

booktitle = "Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023",

}

Wang, T, Aqeel, M, Norouzzadeh, P, Tutun, S, Snir, E, Miab, GR, Al Dehailan, L & Rahmani, B 2023, Forecasting Teeth Cavities By Convolutional Neural Network. in Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023. Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023, Institute of Electrical and Electronics Engineers Inc., pp. 109-111, 2023 IEEE Conference on Artificial Intelligence, CAI 2023, Santa Clara, United States, 06/5/23. https://doi.org/10.1109/CAI54212.2023.00054

Forecasting Teeth Cavities By Convolutional Neural Network. / Wang, Tiantian; Aqeel, Muhammad; Norouzzadeh, Payam et al.
Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 109-111 (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Forecasting Teeth Cavities By Convolutional Neural Network

AU - Wang, Tiantian

AU - Aqeel, Muhammad

AU - Norouzzadeh, Payam

AU - Tutun, Salih

AU - Snir, Eli

AU - Miab, Golnesa Rouie

AU - Al Dehailan, Laila

AU - Rahmani, Bahareh

PY - 2023

Y1 - 2023

N2 - Oral health is crucial to overall good health, and yet because dental services are expensive, time consuming and stressful for patients, dental problems are often left unaddressed, leading to the need for far more expensive and painful interventions down the road. The main goal of this project is using AI and deep learning to develop software to detect cavities and other dental problems and providing the corresponding app to improve dental health. We applied convolutional neural network (CNN) to find the teeth caries. Canny Edge CNN model performed the best training.

AB - Oral health is crucial to overall good health, and yet because dental services are expensive, time consuming and stressful for patients, dental problems are often left unaddressed, leading to the need for far more expensive and painful interventions down the road. The main goal of this project is using AI and deep learning to develop software to detect cavities and other dental problems and providing the corresponding app to improve dental health. We applied convolutional neural network (CNN) to find the teeth caries. Canny Edge CNN model performed the best training.

KW - Augmentation

KW - Convolutional Neural Network

KW - Deep Learning

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DO - 10.1109/CAI54212.2023.00054

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BT - Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

Y2 - 5 June 2023 through 6 June 2023

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Wang T, Aqeel M, Norouzzadeh P, Tutun S, Snir E, Miab GR et al. Forecasting Teeth Cavities By Convolutional Neural Network. In Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 109-111. (Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023). doi: 10.1109/CAI54212.2023.00054