Dental Disease Prediction Using Convolution Neural Network and Image Processing

Abstract

Automation in medical field is in high demand. With increased research and development in the field of artificial intelligence, machine learning and deep learning many things have been made possible in the medical field. This paper explores the method to merging deep learning and dental health care. An android application is developed to implement this idea where anyone can use this application to check the oral status. This application is developed to perform acquisition of oral image of the patient and classify the obtained image into specific disease. Mobile Nets is used to train and test the developed model in android application. 

Country : India

1 M. Nayak Hanumanthu

  1. Assistant Professor, Department of Computer Science And Engineering, Malla Reddy College of Engineering for Women, Hyderabad -500100, Telangana, India

IRJIET, Volume 3, Issue 9, September 2019 pp. 73-76

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References

  1. J. Arevalo, F. A. Gonzalez, R. Ramos-Pollan, J. L. Oliveira, and M. A. Guevara Lopez, “Convolutional neural networks for mammography mass lesion classification,” Conf Proc IEEE Eng Med Biol Soc, vol. 2015, pp.797–800, 2015.
  2. Xie, X. Zhang, D. Zeng, X. Chen, and W. Feng, “Design and implementation of the remote wireless intraoral endoscope system,” 2015.
  3. Z. Pang, Q. Chen, J. Tian, L. Zheng, and E. Dubrova, “Ecosystem analysis in the design of open platform-based in-home healthcare terminals towards the internet-of-things,” pp. 529–534, 2013.
  4. “A Smart Dental Health-IoT Platform Based on Intelligent Hardware, Deep Learning and Mobile Terminal” Lizheng Liu, Jiawei Xu, , Yuxiang Huan, Zhuo Zou, Member VOL. 14, NO. 8, AUGUST 2021.
  5. P. J. Pussinen, P. Jousilahti, G. Alfthan, T. Palosuo, S. Asikainen,and V. Salomaa, “Antibodies to periodontal pathogens are associated with coronary heart disease,” Arteriosclerosis Thrombosis and Vascular Biology, vol. 23, no. 7, p. 1250, 2003.  
  6. G. Johnson, “Diabetes and dental care: Gum disease can make diabetes worse,” Alive Canadas Natural Health and Wellness Magazine, 2011.
  7. N. W. Johnson, “The mouth in hiv/aids: markers of disease status and management challenges for the dental profession,” Australian Dental Journal, vol. 55, pp. 85–102, 2010.
  8. L. Atzori, A. Iera, and G. Morabito, The Internet of Things: A survey. Elsevier North-Holland, Inc., 2010.
  9. D. Metcalf, S. T. Milliard, M. Gomez, and M. Schwartz, “Wearables and the internet of things for health: Wearable, interconnected devices promise more efficient and comprehensive health care,” IEEE Pulse, vol. 7, no. 5, pp. 35–39, 2016.
  10. P. Sundaravadivel, E. Kougianos, S. P. Mohanty, and M. K. Ganapathiraju, “Everything you wanted to know about smart health care:Evaluating the different technologies and components of the internet of things for better health,” IEEE Consumer Electronics Magazine, vol. 7,no. 1, pp. 18–28, 2017.