Predicting common solid renal tumors using machine learning models of classification of radiologist-assessed magnetic resonance characteristics
Author:
Publisher
Springer Science and Business Media LLC
Subject
Urology,Gastroenterology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s00261-020-02637-w.pdf
Reference47 articles.
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4. 4. Lopes Vendrami C, Parada Villavicencio C, DeJulio TJ, Chatterjee A, Casalino DD, Horowitz JM, Oberlin DT, Yang GY, Nikolaidis P, Miller FH (2017) Differentiation of solid renal tumors with multiparametric MR imaging. Radiographics 37 (7):2026-2042. https://doi.org/10.1148/rg.2017170039
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