Role of DECT-Based Imaging Biomarkers and Machine Learning to Predict Renal Cell Carcinoma Subtypes

Role of DECT-Based Imaging Biomarkers and Machine Learning to Predict Renal Cell Carcinoma Subtypes

Objective The aim of the study was to assess and compare dual-energy CT (DECT) based quantitative parameters to differentiate between clear cell renal cell carcinoma (ccRCC) and non-ccRCC.

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Bibliographic Details
Main Authors: Neha Baijal, Amit Gupta, Sanil Garg, Neel Yadav, Rohan R. Dhanakshirur, Kshitiz Jain, Chandan J. Das
Format: Article
Language:English
Published: Thieme Medical and Scientific Publishers Pvt. Ltd.
Series:Indian Journal of Radiology and Imaging
Subjects:
clear cell renal cell carcinoma
RCC subtyping
machine learning
Online Access:http://www.thieme-connect.de/DOI/DOI?10.1055/s-0045-1806751
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