A Glimpse Journey on Detection of Pancreatic Cancer

Author (s) : Ajanthaa Lakkshmanan and Dr. C. Anbuananth

---

Abstract :
Cancer is usually characterized as a heterogeneous disease with different types and subtypes. Cancer is not a single disease, but rather many related diseases that involve uncontrolled cellular growth and reproduction. It is one of the leading causes of death in the developed world and second in the developing world, almost a million people around the globe are losing the fight against cancer every year. The early identification and prognosis of a cancer type have become inexorable in cancer research, as it can facilitate the quality of life of patients. Pancreas cancer is one of the most common malignant tumors with the highest morbidity and mortality, which is a considerable threat to people's health and life. Advanced Pancreas cancer is likely to metastasize, which lead to corresponding symptoms in patients with great pain, and are even life-threatening. This phenomenon is referred to as the distant metastasis of this cancer, which is represented by the M staging in the TNM staging system. Computed Tomography (CT) imaging could be a wide used technique for the analysis of growth prognosis. Pancreas tumor images are segmented with high rate of accuracy and then tumors are classified whether it is malignant or benign. Because of the complexity and change in the characteristics of tumor like its shape and size. Hence the work elaborates the numerous researches for tumor recognition, segmentation and classification of previously proposed methods highlighting its strength and limitations. There are no proper research made to recognize tumor and good image quality. Till now no research has provided critical evaluation of the survey which inhibits new research. In this literature I am going to discuss about the different approaches available for segmentation and classification of pancreas tumor.

Keywords : Pancreas Tumor, CT Imaging, Feature Extraction, Segmentation Classification.

Conference Date : 26-04-2019

Pages : 1-4

Paper ID : 0937158