• Rajashekhargouda C Patil
• Dr. Mahesh P. K.

Cancer is the uncontrolled growth and division of cells. Oral cancer is the type of cancer which originates in the oral cavity or the visible region of the open mouth. Oral cancer occupies the sixth position among all types of cancer in terms of mortality rate. The gold standard to diagnose is to analyse the photomicrograph of the biopsy sample which is stained with the H&E stain. The analysis of above mentioned photomicrographs is still done through visual inspection of the pathologists. In this paper, we apply the transfer learning technique on three popular deep learning models to classify the above mentioned photomicrographs into the images obtained from the biopsy of a normal tissue or of cancer affected tissue. Through experimental analysis, we obtained the accuracy of 93.33%, Sensitivity of 100%, Specificity of 80% and Precision of 90.91%.

Deep learning, Squamous Cell Carcinoma, Classification

" APPLICATION OF DEEP LEARNING ON HISTOPATHOLOGICAL PHOTOMICROGRAPHS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.287-290, November-2018, Available :http://www.jetir.org/papers/JETIR1811B46.pdf

" APPLICATION OF DEEP LEARNING ON HISTOPATHOLOGICAL PHOTOMICROGRAPHS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp287-290, November-2018, Available at : http://www.jetir.org/papers/JETIR1811B46.pdf