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

Fuat Türk; Murat Lüy; Necaattin Barışçı

doi:10.29137/umagd.640667

EN

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

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

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

Fuat Türk ^*
0000-0001-8159-360X
Türkiye

Murat Lüy
Türkiye

Necaattin Barışçı
Türkiye

Publication Date

December 31, 2019

Submission Date

October 31, 2019

Acceptance Date

December 15, 2019

Published in Issue

Year 2019 Volume: 11 Number: 3

DOI

https://doi.org/10.29137/umagd.640667

IZ

https://izlik.org/JA89TG77FC

APA

Türk, F., Lüy, M., & Barışçı, N. (2019). Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods. International Journal of Engineering Research and Development, 11(3), 802-812. https://doi.org/10.29137/umagd.640667

AMA

1.Türk F, Lüy M, Barışçı N. Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods. IJERAD. 2019;11(3):802-812. doi:10.29137/umagd.640667

Chicago

Türk, Fuat, Murat Lüy, and Necaattin Barışçı. 2019. “Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods”. International Journal of Engineering Research and Development 11 (3): 802-12. https://doi.org/10.29137/umagd.640667.

EndNote

Türk F, Lüy M, Barışçı N (December 1, 2019) Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods. International Journal of Engineering Research and Development 11 3 802–812.

IEEE

[1]F. Türk, M. Lüy, and N. Barışçı, “Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods”, IJERAD, vol. 11, no. 3, pp. 802–812, Dec. 2019, doi: 10.29137/umagd.640667.

ISNAD

Türk, Fuat - Lüy, Murat - Barışçı, Necaattin. “Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods”. International Journal of Engineering Research and Development 11/3 (December 1, 2019): 802-812. https://doi.org/10.29137/umagd.640667.

JAMA

1.Türk F, Lüy M, Barışçı N. Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods. IJERAD. 2019;11:802–812.

MLA

Türk, Fuat, et al. “Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods”. International Journal of Engineering Research and Development, vol. 11, no. 3, Dec. 2019, pp. 802-1, doi:10.29137/umagd.640667.

Vancouver

1.Fuat Türk, Murat Lüy, Necaattin Barışçı. Machine Learning of Kidney Tumors and Diagnosis and Classification by Deep Learning Methods. IJERAD. 2019 Dec. 1;11(3):802-1. doi:10.29137/umagd.640667

Kırıkkale University, Faculty of Engineering and Natural Science, 71450 Yahşihan / Kırıkkale, Türkiye.

ijerad@kku.edu.tr

Abstract

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

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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