Automated Grading of Oral Squamous Cell Carcinoma into Multiple Classes Using Deep Learning Methods

2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)(2021)

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Abstract
The diagnosis of oral squamous cell carcinoma is based on a histopathological examination, which is still the most reliable way of identifying oral cancer despite its high subjectivity. However, due to the heterogeneous structure and textures of oral cancer, as well as the presence of any inflammatory tissue reaction, histopathological classification can be difficult. For that reason, an automatic...
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Key words
artificial intelligence,deep learning methods,histopathology images,oral cancer
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