Re: Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning-Based Study for Predicting Histopathologic Nuclear Grade

Siegel Cary

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Re: Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning-Based Study for Predicting Histopathologic Nuclear Grade

机译：Re：透明细胞肾细胞癌的未加入CT纹理分析：一种基于机器学习的预测组织病理学核等级的研究

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来源
《The Journal of Urology》 |2019年第6期|共2页
作者
Siegel Cary;
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正文语种 eng
中图分类泌尿科学（泌尿生殖系疾病）;
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1. Re: Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning-Based Study for Predicting Histopathologic Nuclear Grade [J] . Siegel Cary The Journal of Urology . 2019,第6期

机译：Re：透明细胞肾细胞癌的未加入CT纹理分析：一种基于机器学习的预测组织病理学核等级的研究
2. Machine learning-based unenhanced CT texture analysis for predicting BAP1 mutation status of clear cell renal cell carcinomas [J] . Acta Radiologica . 2020,第6期

机译：基于机器学习的未加入CT纹理分析，用于预测透明细胞肾细胞癌的BAP1突变状态
3. Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade [J] . Bektas Ceyda Turan, Kocak Burak, Yardimci Aytul Hande, European radiology . 2019,第3期

机译：透明细胞肾细胞癌：基于机器学习的定量计算断层扫描纹理分析，以预测Fuhrman核级
4. Study on texture analysis of renal cell carcinoma nuclei based on the Fuhrman grading system [C] . Tae-Yun Kim, Hyun-Ju Choi, Soon-Joo Cha, Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings of 7th International Workshop on . 2005

机译：基于Fuhrman分级系统的肾细胞癌核纹理分析研究
5. Prognostic and Predictive Factors in Renal Cell Carcinoma [D] . Spasova-Nyagolova, Snezhana. 2018

机译：肾细胞癌中的预测和预测因子
6. Adrenal incidentaloma: machine learning-based quantitative texture analysis of unenhanced CT can effectively differentiate sPHEO from lipid-poor adrenal adenoma [O] . Xiaoping Yi, Xiao Guan, Chen Chen, 2018

机译：肾上腺偶发瘤：未增强CT的基于机器学习的定量纹理分析可以有效地将sPHEO与贫血的肾上腺腺瘤区分开
7. Multiphase Contrast-Enhanced CT-Based Machine Learning Models to Predict the Fuhrman Nuclear Grade of Clear Cell Renal Cell Carcinoma [O] . Shengsheng Lai, Lei Sun, Jialiang Wu, 2021

机译：多相对比度增强CT的机器学习模型，以预测富发核等级的透明细胞肾细胞癌

Re: Unenhanced CT Texture Analysis of Clear Cell Renal Cell Carcinomas: A Machine Learning-Based Study for Predicting Histopathologic Nuclear Grade

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