Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods

Authors : Fuat TÜRK, Murat LÜY, Necaattin BARIŞÇI

Pages : 802-812

Doi:10.29137/umagd.640667

View : 19 | Download : 10

Publication Date : 2019-12-31

Article Type : Research Paper

Abstract :Kidney cancer is difficult to diagnose and it can be quite complicated for physicians to diagnose. In this study, while providing information about multiple sources to help people who are dealing with the challenges of the diagnosis of kidney cancer, in order to serve as a guide the principles of kidney cancer are tried to be explained. In recent years, many new methods of treatment have been developed for kidney cancer, and some are under development by scientists. These studies provide treatment information that offers new hope to the lives of kidney cancer patients. In this study, it is aimed to get acquainted with kidney cancer cells by using machine learning, and deep learning algorithms. In this way, an application can be developed to guide patients and physicians through early diagnosis and classification.
Keywords : Deep learning, Machine learning, kidney cancer