Abstract
Not taking care of oral health may lead to many health problems, mouth lesions or other oral problems are most often the sign of systemic diseases such as cardiovascular, stroke and pulmonary diseases. The most common oral and dental disease which affects the teeth are dental abscess, dental caries, gingivitis, periodontal disease, pericoronitis, pulpitis, crowding, malocclusion, oral cancer, acid erosion, bad breath, dental plaque. Dental diseases are majorly diagnosed by X-ray imaging. Since the X-rays are harmful as they emit radiation. Exposed levels are not considered safe for adults and children. To eliminate the use of X-ray for imaging modality in dentistry we propose a system which includes digital imaging, thermal imaging and near infrared imaging which are non-invasive, non-harmful, cost effective and ease of use and care. After conducting a clinical study on 47 volunteers and 60 images are obtained on their denture studies reveal their efficiency here image modalities to be used as automatic classification of dental diseases and analyzing the proposed system the results confirm the diseases with greater accuracy of 87.5% hence there is a possibility of replacing X-ray images a hybrid imager which houses a thermal, a near infrared and high resolution imager.
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Acknowledgement
We thank the doctors of V.S DENTAL COLLEGE & HOSPITAL and MY DENTAL CARE CLINIC for providing us patients to carry on our project. It would not have been possible to do the project in this form without their valuable help, cooperation and guidance.
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Arabi, P.M., Naveen, T.S., Vamsha Deepa, N., Samanta, D. (2018). Automatic Diagnosis of Dental Diseases. In: Bhattacharyya, P., Sastry, H., Marriboyina, V., Sharma, R. (eds) Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017. Communications in Computer and Information Science, vol 827. Springer, Singapore. https://doi.org/10.1007/978-981-10-8657-1_28
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DOI: https://doi.org/10.1007/978-981-10-8657-1_28
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