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Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade

Crossref DOI link: https://doi.org/10.1007/s00330-018-5698-2

Published Online: 2018-08-30

Published Print: 2019-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bektas, Ceyda Turan

Kocak, Burak https://orcid.org/0000-0002-7307-396X
Yardimci, Aytul Hande

Turkcanoglu, Mehmet Hamza

Yucetas, Ugur

Koca, Sevim Baykal

Erdim, Cagri

Kilickesmez, Ozgur
License Information

Text and Data Mining valid from 2018-08-30
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Article History

Received: 24 April 2018

Revised: 19 July 2018

Accepted: 31 July 2018

First Online: 30 August 2018

Compliance with ethical standards

:

: The scientific guarantor of this publication is Burak Kocak, MD.

: The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

: Burak Kocak, MD, the second and corresponding author, has significant statistical expertise.

: Written informed consent was waived by the institutional review board.

: Institutional review board approval was obtained.

: • retrospective• diagnostic or prognostic study• performed at one institution