Cancer is a disease by which cells in parts of body start growing without any control and spread over the body. Cancer is a very dangerous disease in the world. Nowadays the death rate increases due to the cancer. If the cancer is diagnosed at its earliest stage, there is a chance for a cure. There are lot of approaches to diagnosing cancer such as physical examination, laboratory test, imaging test and biopsy. The manual process of finding the existence of cancer is quite time consuming and tedious. To assist the physician in the diagnosis, effective CAD (Computer Aided Diagnosis) based tools have been developed for early diagnosis and treatment. Deep Learning has produced algorithms capable of diagnosing the disease at an earlier stage with more accuracy. In this work, different deep learning models deployed for specific four kinds of cancer classifications viz., Brain tumor, Breast cancer, Cervical cancer and Lung cancer have been surveyed. This work shows that even though the number of researches and publications are increasing in the medical analysis, most of the place is occupied by Convolution Neural Network (CNN).
CNN. Deep Learning, Medical Image, Transfer Learning.
S. Nandhinidevi , Dr. G. Rajendran "A Survey on Role of Deep Learning in Medical Image Classification" Iconic Research And Engineering Journals Volume 7 Issue 3 2023 Page 88-98
S. Nandhinidevi , Dr. G. Rajendran "A Survey on Role of Deep Learning in Medical Image Classification" Iconic Research And Engineering Journals, 7(3)