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IJSTR >> Volume 10 - Issue 6, June 2021 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Diagnosis Of Oral Squamous Cell Carcinoma Using Machine Learning

[Full Text]

 

AUTHOR(S)

Muhammad AsadIqbal, Khalid Masood, AnasRiaz, AneelaMehmood, Amina Atta

 

KEYWORDS

Oral Cancer, Mouth cancer, Machine learning, Classification, Medical science

 

ABSTRACT

Malignancy (Cancer) is a disease wherein a wild development of cells happens that can likewise spread into the encompassing tissues. Oral malignancy is characterized as the advancement of destructive cells in any part of the mouth which include lips, tongue, cheeks, floor of the mouth, hard and delicate palates, sinuses, and oropharynx (the part at the rear of the mouth). In some cases, it is mentioned as Oral malignant growth and at different occasions may likewise as Oral cavity disease, however it is something very similar. There is a wide range of types of Oral Cancers and patients with Oral tumors must go through an extensive diagnostic system to identify the type of cancer along with its stage to develop a personalized and customized treatment plan according to the patient’s need. The focus of this research work is squamous cell carcinoma by using biopsy images. Through this work, the oral cavity cancer detection can be easier and more accurate especially in far flung areas where the enough medical staff is not available.. The dataset contains two classes (normal and malignant). The classification model employs a number of machine learning algorithms such as decision tree and support vector machine and an overall accuracy of 98% is achieved.

 

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