@article{article_640667, title={Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods}, journal={International Journal of Engineering Research and Development}, volume={11}, pages={802–812}, year={2019}, DOI={10.29137/umagd.640667}, author={Türk, Fuat and Lüy, Murat and Barışçı, Necaattin}, keywords={Deep learning,Machine learning,kidney cancer}, abstract={<span class="notranslate"> <span style="font-size:10pt;line-height:107%;font-family:’Times New Roman’, serif;">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. </span> </span>}, number={3}, publisher={Kirikkale University}