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A Model to Identify the Impairment Caused by Smoking to the Oral Cavity

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Artificial Intelligence and Sustainable Computing (ICSISCET 2022)

Part of the book series: Algorithms for Intelligent Systems ((AIS))

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Abstract

Smoking is injurious to health. The habit of smoking causes a variety of unfavorable changes to the oral mucosa. The oral cavity is one of the fastest healing parts of the human body and often is overlooked resulting in serious problems. The problems in the oral cavity can also be due to other factors. It requires expert supervision to differentiate between the two. Therefore an intelligent system is required that not only detects the impairment but also categorizes if the impairment is caused due to smoking or other factors. In order to achieve the aims and objectives of the present study, a Convolutional Neural Network (CNN) is developed. The dataset for training and testing the CNN comprises 1788 images belonging to three classes viz. healthy mucosa, oral impairment due to smoking and oral impairment due to factors other than smoking. The dataset is divided into two parts in the ratio of 70:30 where 70% data is used for training the CNN and the remaining 30% data is used for validating the model. The developed CNN model showed training and test accuracy of 0.9995 and 1.00 respectively. On the other hand, the training and test loss value computed for the CNN model is 0.0151 and 0.0023 respectively.

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Authors and Affiliations

  1. Class of 2023, Redmond High School, 17272 NE 104th St., Redmond, WA 98052, Lake Washington School District, Redmond, USA

    Gayatri Meghana Gangipamula

  2. On My Own Technology Private Limited, Mumbai, India

    Reetu Jain & Syed Abou Iltaf Hussain

Authors
  1. Gayatri Meghana Gangipamula
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  2. Reetu Jain
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  3. Syed Abou Iltaf Hussain
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Corresponding author

Correspondence to Reetu Jain .

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Editors and Affiliations

  1. Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India

    Manjaree Pandit

  2. Madhav Institute of Technology and Science, Gwalior, Madhya Pradesh, India

    M. K. Gaur

  3. CHRIST (Deemed to be University), Kengeri Campus, Bengaluru, India

    Sandeep Kumar

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The authors would like to declare that there is no conflict of interest involved in conducting this project. The consent is taken from the patient for taking their pictures.

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Gangipamula, G.M., Jain, R., Hussain, S.A.I. (2023). A Model to Identify the Impairment Caused by Smoking to the Oral Cavity. In: Pandit, M., Gaur, M.K., Kumar, S. (eds) Artificial Intelligence and Sustainable Computing. ICSISCET 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1431-9_15

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