An Ensemble Deep Neural Network Approach for Oral Cancer Screening

Authors

  • Nanditha B R Malnad College of Engineering, Hassan
  • Geetha Kiran A Malnad College of Engineering, Hassan
  • Chandrashekar H S Malnad College of Engineering, Hassan
  • Dinesh M S PET Research Centre, PESCE, Mandya
  • Murali S Maharaja Institute of Technology, Mysore

DOI:

https://doi.org/10.3991/ijoe.v17i02.19207

Keywords:

oral lesions, deep learning, ResNet-50, VGG-16, ensemble model, benign, malignant

Abstract


One of the ways to reduce oral cancer mortality rate is diagnosing oral lesions at initial stages to classify them as precancerous or normal lesions. During routine oral examination, oral lesions are normally screened manually. In a low resource setting area where there is lack of medical facilities and also medical expertise, an automated mechanism for oral cancer screening is required. The present work is an attempt towards developing an automated system for diagnosing oral lesions using deep learning techniques. An ensemble deep learning model that combines the benefits of Resnet-50 and VGG-16 has been developed. This model has been trained with an augmented dataset of oral lesion images. The model outperforms other popularly used deep learning models in performing the classification of oral images. An accuracy of 96.2%, 98.14% sensitivity and 94.23% specificity was achieved with the ensemble deep learning model.

Author Biographies

Nanditha B R, Malnad College of Engineering, Hassan

Assistant Professor

Information Science & Engineering

Geetha Kiran A, Malnad College of Engineering, Hassan

Professor

Computer Science & Engineering

Chandrashekar H S, Malnad College of Engineering, Hassan

Assistant Professor

Information Science and Engineering

Dinesh M S, PET Research Centre, PESCE, Mandya

Honorary Professor

Computer Science & Engineering

Murali S, Maharaja Institute of Technology, Mysore

Professor

Computer Science & Engineering

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Published

2021-02-12

How to Cite

B R, N., A, G. K., H S, C., M S, D., & S, M. (2021). An Ensemble Deep Neural Network Approach for Oral Cancer Screening. International Journal of Online and Biomedical Engineering (iJOE), 17(02), pp. 121–134. https://doi.org/10.3991/ijoe.v17i02.19207

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Section

Papers