Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort

Lee Scott J.; Liu Jiamin; Yao Jianhua; Kanarek Andrew; Summers Ronald M.; Pickhardt Perry J.

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Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort

机译：在腹部CT的全自动分割和定量内脏和皮下脂肪：应用于纵向成人筛查队列

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Objective: To investigate a fully automated CT-based adiposity tool, applying it to a longitudinal adult screening cohort.

机译：目的：探讨全自动基于CT的肥胖工具，将其应用于纵向成人筛选队列。

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来源
《British Journal of Radiology》 |2018年第1089期|共7页
作者
Lee Scott J.; Liu Jiamin; Yao Jianhua; Kanarek Andrew; Summers Ronald M.; Pickhardt Perry J.;
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作者单位

Univ Wisconsin Dept Radiol Sch Med &

Publ Hlth Madison WI 53706 USA;

Natl Inst Hlth Clin Ctr Imaging Biomarkers &

Comp Aided Diag Lab Bethesda MD USA;

Natl Inst Hlth Clin Ctr Imaging Biomarkers &

Comp Aided Diag Lab Bethesda MD USA;

Univ Wisconsin Dept Radiol Sch Med &

Publ Hlth Madison WI 53706 USA;

Natl Inst Hlth Clin Ctr Imaging Biomarkers &

Comp Aided Diag Lab Bethesda MD USA;

Univ Wisconsin Dept Radiol Sch Med &

Publ Hlth Madison WI 53706 USA;

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正文语种 eng
中图分类放射医学;
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专利

1. Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort [J] . Lee Scott J., Liu Jiamin, Yao Jianhua, British Journal of Radiology . 2018,第1089期

机译：在腹部CT的全自动分割和定量内脏和皮下脂肪：应用于纵向成人筛查队列
2. Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment [J] . Graffy Peter M., Liu Jiamin, Pickhardt Perry J., British Journal of Radiology . 2019,第1100期

机译：基于深度学习的肌肉细分和在腹部CT的定量：应用于Sarcopenia评估的纵向成人筛查队列
3. EFFECT OF SARCOPENIA, SUBCUTANEOUS ADIPOSE TISSUE AND ABDOMINAL VISCERAL FAT ON MORTALITY RISK OF COMMUNITY-DWELLING OLDER ADULTS: A POPULATION-BASED PROSPECTIVE COHORT STUDY IN BRAZIL- THE SAO PAULO AGEING and HEALTH STUDY [J] . Domiciano D. S. D., Santana F. M. S., Goncalves M. A. G., Osteoporosis international: a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA . 2017,第Suppla1期

机译：SARCOPENIA，皮下脂肪脂肪组织和腹腔内膜脂肪对社区住宅老年人死亡率风险的影响：巴西人口的潜在队列研究 - 圣保罗老龄化和卫生研究
4. Development of automated quantification of visceral and subcutaneous adipose tissue volumes from abdominal CT scans [C] . Sanne D. Mensink, Jarich W. Spliethoff, Ruben Belder, Conference on computer-aided diagnosis . 2011

机译：通过腹部CT扫描自动量化内脏和皮下脂肪组织的体积
5. Developing Methods to Aid Edge Detection in a Micro-Computed Tomography Based Subcutaneous Versus Visceral Fat Segmentation Algorithm. [D] . Shetty, Charvi. 2013

机译：在基于微计算机断层扫描的皮下对内脏脂肪分割算法中辅助边缘检测的开发方法。
6. Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort [O] . Scott J Lee, Jiamin Liu, Jianhua Yao, 2018

机译：腹部CT内脏和皮下脂肪的全自动分割和定量：应用于成人纵向筛查队列
7. Is visceral fat a better predictor of the incidence of impaired glucose tolerance or type 2 diabetes mellitus than subcutaneous abdominal fat: a systematic review and meta-analysis of cohort studies. [O] . Ana Valeria B Castro, Vania S Nunes, Viorica Ionut, 2014

机译：内脏脂肪是葡萄糖耐量损害的发生率的更好的预测因子，或者2型糖尿病比皮下腹部脂肪：群组研究的系统审查和荟萃分析。

Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort

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