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Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status
Research article (American Journal of Roentgenology, 2019) · cited 115× · AI/ML
Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status
Summary
Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status is a scholarly article[1].
Key Facts
Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status. Retrieved May 24, 2026, from https://4ort.xyz/entity/radiogenomics-in-clear-cell-renal-cell-carcinoma-machine-learningbased-high-dimensional-quantitative-ct-texture-analysis