• shilpa

Abstract: Oral cancer is one of the complex diseases in the world. The rate of the death is increasing all over the world due to this type of malignancy. Early diagnosis of malignancy is essential to avoid risk of disease. Earlier detection of oral lesions aids surgeons to provide proper treatment to save lives. An oral tumor can be Malignant or benign. Benign tumor of the mouth is growth that does not spread (metastasize) to other parts of the body, malignant tumors are cancerous and they rapidly grows and metastasize to other parts of the body. Oral cancer detection and segmentation is one of the most challenging and time consuming task in medical image processing. This research is focused towards the comparative study of earlier proposed segmentation techniques discussed in the literature.

Oral cancer, Medical Image Processing, preprocessing, Segmentation

"A Review on Segmentation Algorithms of Oral Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.104-107, February-2019, Available :http://www.jetir.org/papers/JETIR1902A18.pdf

"A Review on Segmentation Algorithms of Oral Cancer Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp104-107, February-2019, Available at : http://www.jetir.org/papers/JETIR1902A18.pdf