Oral Malignancy Detection Using Color Features from Digital True Color Images

Authors

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

DOI:

https://doi.org/10.3991/ijoe.v16i14.17429

Keywords:

oral lesions, benign, malignant, dataset, color features, neural network classifier

Abstract


One of the most prevalent forms of cancer worldwide is oral cancer which has a high rate of mortality. Diagnosis and treatment of oral premalignant lesions at an early stage reduces the death rate. The objective of this work is to detect malignancies by analyzing color features of digital true color oral images. A dataset of around 433 oral lesion images has been created that includes benign, premalignant and malignant lesions. The proposed method was experimented on this dataset. Different classifiers have been trained using various color features. The neural network classifier detects abnormalities with an accuracy of 94.82%. Results indicate that the color features have better potential in identifying benign and malignant oral lesions.

Author Biographies

Nanditha B R, Malnad College of Engineering Hassan, Karnataka India

Assistant Professor

Dept. of Information Science & Engineering 

Geetha Kiran A, Malnad College of Engineering Hassan, Karnataka India

Professor and Head

Department of Computer Science & Engineering 

Chandrashekar H S, Malnad College of Engineering, Hassan Karnataka, India

Assistant Professor

Dept. of Information Science and Engineering

Dinesh M.S, PET Research Centre PESCE, Mandya Karnataka, India

Honorary Professor

Murali S, Maharaja Institute of Technology, Mysore, Karnataka, India

Professor

Department of Computer Science and Engineering

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Published

2020-11-30

How to Cite

B R, N., A, G. K., H S, C., M.S, D., & S, M. (2020). Oral Malignancy Detection Using Color Features from Digital True Color Images. International Journal of Online and Biomedical Engineering (iJOE), 16(14), pp. 95–106. https://doi.org/10.3991/ijoe.v16i14.17429

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Papers