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Radiomics improves efficiency for differentiating subclinical pheochromocytoma from lipid-poor adenoma: a predictive preventive and personalized medical approach in adrenal incidentalomas

机译：Radiomics提高了将亚临床嗜铬细胞瘤与脂质不足的腺瘤区分开的效率：一种肾上腺偶发瘤的预测预防和个性化医疗方法

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The online version of this article (10.1007/s13167-018-0149-3) contains supplementary material, which is available to authorized users.

机译：本文的在线版本（10.1007 / s13167-018-0149-3）包含补充材料，可供授权用户使用。

著录项

期刊名称 The EPMA Journal
作者
Xiaoping Yi; Xiao Guan; Youming Zhang; Longfei Liu; Xueying Long; Hongling Yin; Zhongjie Wang; Xuejun Li; Weihua Liao; Bihong T. Chen; Chishing Zee;
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作者单位

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年(卷),期 2018(9),4
年度 2018
页码 -1
总页数 9
原文格式 PDF
正文语种
中图分类
关键词
Adrenal gland neoplasms; Pheochromocytoma; Adrenal adenoma; Predictive preventive personalized medicine; Computed tomography; Radiomics;

机译：肾上腺肿瘤;嗜铬细胞瘤;肾上腺腺瘤;预测性预防性个性化药物;计算机断层扫描;放射线学;

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中文文献

1. Radiomics improves efficiency for differentiating subclinical pheochromocytoma from lipid-poor adenoma: a predictive, preventive and personalized medical approach in adrenal incidentalomas [J] . Xiaoping Yi, Xiao Guan, Youming Zhang, The EPMA journal. . 2018,第4期

机译：Radiomics提高了将亚临床嗜铬细胞瘤与脂质缺乏性腺瘤区分开的效率：一种肾上腺偶发瘤的预测，预防和个性化医疗方法
2. Adrenal incidentaloma: machine learning-based quantitative texture analysis of unenhanced CT can effectively differentiate sPHEO from lipid-poor adrenal adenoma [J] . Journal of Cancer . 2018,第19期

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
3. Differentiation of lipid-poor adrenal adenomas from non-adenomas with magnetic resonance imaging: Utility of dynamic, contrast enhancement and single-shot T2-weighted sequences [J] . Becker-Weidman David, Kalb Bobby, Mittal Pardeep K., European Journal of Radiology . 2015,第11期

机译：用磁共振成像的非腺瘤的脂质贫肾上腺腺瘤的分化：动态，对比增强和单次T2加权序列的效用
4. Improving Computational Efficiency for Personalized Medical Applications in Mobile Cloud Computing Environment [C] . Mathew George, Obradovic Zoran IEEE International Conference on Healthcare Informatics . 2013

机译：在移动云计算环境中提高个性化医疗应用的计算效率
5. 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
6. A functioning adrenal adenoma and pheochromocytoma in the same adrenal gland: two discrete adrenal incidentalomas [O] . Ga Eun Park, Yoon Young Cho, Yun Soo Hong, 2015

机译：同一肾上腺中的一种功能肾上腺腺瘤和嗜铬细胞瘤：两个离散肾上腺偶然

Radiomics improves efficiency for differentiating subclinical pheochromocytoma from lipid-poor adenoma: a predictive preventive and personalized medical approach in adrenal incidentalomas

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