Development and Validation of a Prediction Model for Differentiation of Benign and Malignant Fat-Poor Renal Tumors Using CT Radiomics

Development and Validation of a Prediction Model for Differentiation of Benign and Malignant Fat-Poor Renal Tumors Using CT Radiomics

Objectives: To develop and validate a machine learning-based CT radiomics classification model for distinguishing benign renal tumors from malignant renal tumors. Methods: We reviewed 499 patients who underwent nephrectomy for solid renal tumors at our institution between 2003 and 2021. In this retr...

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Bibliographic Details
Main Authors: Seokhwan Bang, Hee-Hwan Wang, Hokun Kim, Moon Hyung Choi, Jiook Cha, Yeongjin Choi, Sung-Hoo Hong
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Applied Sciences
Subjects:
radiomics
renal tumor
renal cell carcinoma
artificial intelligence
Online Access:https://www.mdpi.com/2076-3417/13/20/11345

Internet

https://www.mdpi.com/2076-3417/13/20/11345

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