检索结果-南通市图书馆

A Review on deep Learning in Medical Image Reconstruction

Journal of the Operations Research Society of China 2020年第2期8卷 311-340页

作者： Hai-Miao Zhang Bin Dong Beijing International Center for Mathematical Research Peking UniversityBeijing 100871China

Medical imaging is crucial in modern clinics to provide guidance to the diagnosis and treatment of *** image reconstruction is one of the most fundamental and important components of medical imaging,whose major objective is to acquire high-quality medical images for clinical usage at the minimal cost and risk to the *** models in medical image reconstruction or,more generally,image restoration in computer vision have been playing a prominent *** mathematical models are mostly designed by human knowledge or hypothesis on the image to be reconstructed,and we shall call these models handcrafted ***,handcrafted plus data-driven modeling started to emerge which still mostly relies on human designs,while part of the model is learned from the observed *** recently,as more data and computation resources are made available,deep learning based models(or deep models)pushed the data-driven modeling to the extreme where the models are mostly based on learning with minimal human *** handcrafted and data-driven modeling have their own advantages and *** handcrafted models are well interpretable with solid theoretical supports on the robustness,recoverability,complexity,etc.,whereas they may not be flexible and sophisticated enough to fully leverage large data ***-driven models,especially deep models,on the other hand,are generally much more flexible and effective in extracting useful information from large data sets,while they are currently still in lack of theoretical ***,one of the major research trends in medical imaging is to combine handcrafted modeling with deep modeling so that we can enjoy benefits from both *** major part of this article is to provide a conceptual review of some recent works on deep modeling from the unrolling dynamics *** viewpoint stimulates new designs of neural network architectures with inspirations from optimization algorit

关键词： Medical imaging deep learning Unrolling dynamics Handcrafted modeling deep modeling Image reconstruction

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：