Deep Learning of Joint Myelin-T1w MRI Features on Normal-Appearing Brain Tissues Distinguishes Multiple Sclerosis from Healthy Controls

Yoo Youngjin; Tang Lisa Y. W.; Brosch Tom; Li David K. B.; Kolind Shannon; Vavasour Irene; Rauscher Alexander; MacKay Alex; Traboulsee Anthony; Tam Roger

首页> 外文期刊>Multiple sclerosis: clinical and laboratory research >Deep Learning of Joint Myelin-T1w MRI Features on Normal-Appearing Brain Tissues Distinguishes Multiple Sclerosis from Healthy Controls

【24h】

Deep Learning of Joint Myelin-T1w MRI Features on Normal-Appearing Brain Tissues Distinguishes Multiple Sclerosis from Healthy Controls

机译：正常出现的脑组织对关节骨髓苷-T1W MRI特征的深度学习区分了多发性硬化来自健康对照的影响

获取原文

获取原文并翻译 | 示例

获取外文期刊封面封底 >>

开具论文收录证明 >>

文献代查 >>

团队文献服务 >>

页面导航

著录项
相似文献
相关主题

著录项

来源
《Multiple sclerosis: clinical and laboratory research 》 |2017年第2期| 共1页
作者
Yoo Youngjin; Tang Lisa Y. W.; Brosch Tom; Li David K. B.; Kolind Shannon; Vavasour Irene; Rauscher Alexander; MacKay Alex; Traboulsee Anthony; Tam Roger;
展开▼
作者单位

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

Univ British Columbia Vancouver BC Canada;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类神经病学与精神病学 ;
关键词

相似文献

外文文献
中文文献
专利

1. Deep Learning of Joint Myelin-T1w MRI Features on Normal-Appearing Brain Tissues Distinguishes Multiple Sclerosis from Healthy Controls [J] . Yoo Youngjin, Tang Lisa Y. W., Brosch Tom, Multiple sclerosis: clinical and laboratory research . 2017 ,第2期

机译：正常出现的脑组织对关节骨髓苷-T1W MRI特征的深度学习区分了多发性硬化来自健康对照的影响
2. Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome [J] . Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Computer methods in biomechanics and bio . 2019 ,第3a4期

机译：深度学习脑病变模式以及用户定义的临床和MRI特征，以预测从临床孤立的综合征转换为多发性硬化症
3. Deep learning of brain lesion patterns and user-defined clinical and MRI features for predicting conversion to multiple sclerosis from clinically isolated syndrome [J] . Youngjin Yoo, Lisa Y. W. Tang, David K. B. Li, Computer methods in biomechanics and biomedical engineering . 2019 ,第3a4期

机译：大脑病变模式的深入学习和用户定义的临床和MRI特征，用于预测临床上综合征的多发性硬化的转化
4. Hierarchical Multimodal Fusion of Deep-Learned Lesion and Tissue Integrity Features in Brain MRIs for Distinguishing Neuromyelitis Optica from Multiple Sclerosis [C] . Youngjin Yoo, Lisa Y.W. Tang, Su-Hyun Kim, International conference on medical imaging computing and computer-assisted intervention . 2017

机译：深度学习的病变和脑MRI的组织完整性特征的分级多峰融合用于区分多发性硬化症的神经脊髓炎
5. A Bayesian Framework for 4-D Segmentation of Multiple Sclerosis Lesions in Serial MRI in the Brain [D] . Elliott, Colm. 2016

机译：颅脑MRI中多发性硬化病变4-D分段的贝叶斯框架
6. Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls [O] . Youngjin Yoo, Lisa Y.W. Tang, Tom Brosch, 2018

机译：对正常出现的脑组织中的髓鞘和T1w MRI关节特征进行深度学习以区分多发性硬化症患者和健康对照
7. Deep learning of joint myelin and T1w MRI features in normal-appearing brain tissue to distinguish between multiple sclerosis patients and healthy controls [O] . Youngjin Yoo, Lisa Y.W. Tang, Tom Brosch, 2018

机译：骨髓苷和T1W MRI特征深度学习在正常出现的脑组织中，区分多发性硬化症患者和健康对照

Deep Learning of Joint Myelin-T1w MRI Features on Normal-Appearing Brain Tissues Distinguishes Multiple Sclerosis from Healthy Controls

著录项

相似文献

相关主题

期刊订阅