From 2069dbc1f5c2b99a258c796da3fd587a585d7f9c Mon Sep 17 00:00:00 2001 From: Tinger-ztt <1760918366@qq.com> Date: Thu, 12 Nov 2020 20:20:09 +0800 Subject: [PATCH] upload --- .../Machine Learning+Radiomics/README.md | 95 +++++++++++++++++++ Theory/Deep Learning/README.md | 95 +++++++++++++++++++ Theory/Machine Learning/README.md | 95 +++++++++++++++++++ Theory/README.md | 95 +++++++++++++++++++ Theory/Radiomics/README.md | 95 +++++++++++++++++++ 5 files changed, 475 insertions(+) create mode 100644 Applications/Combination/Machine Learning+Radiomics/README.md create mode 100644 Theory/Deep Learning/README.md create mode 100644 Theory/Machine Learning/README.md create mode 100644 Theory/README.md create mode 100644 Theory/Radiomics/README.md diff --git a/Applications/Combination/Machine Learning+Radiomics/README.md b/Applications/Combination/Machine Learning+Radiomics/README.md new file mode 100644 index 0000000..da722c2 --- /dev/null +++ b/Applications/Combination/Machine Learning+Radiomics/README.md @@ -0,0 +1,95 @@ +# Must-read papers + +**本仓库主要分享AI结合医疗影像（CT/核磁/超声）领域值得一读的文章和资源**:blush: +集中在超声影像和深度学习 + +## [Content](#content) + + + + + + + + + + + + + + + + + + + + + +
1. Theory
 1.1 Machine Learning 1.2 Deep Learning
 1.3 Radiomics
2. Application
 2.1 Machine Learning 2.2 Deep Learning
 2.3 Radiomics 2.4 Combination
3. Related Research Platform
+ +## [Theory](#content) + + + + +### [Machine Learning Theory](#content) + + + + +### [Deep Learning Theory](#content) + + + + +### [Radiomics Theory](#content) + + + + +## [Application](#content) + +### [Machine Learning](#content) +1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018) + + *Maja Cikes1, Sergio Sanchez-Martinez, Brian Claggett, Nicolas Duchateau, Gemma Piella, Constantine Butakoff, Anne Catherine Pouleur, Dorit Knappe, Tor Biering-Sørensen, Valentina Kutyifa, Arthur Moss, Kenneth Stein, Scott D. Solomon, and Bart Bijnens* + +1. **Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network** Nature Medicine 25, 65–69(2019) + + *Awni Y. Hannun Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng* + + +### [Deep Learning](#content) +1. 基于深度学习的医学CT图像中器官的区域检测， 南京师范大学，硕士学位论文 (2018) + + *嵇伟伟* + +### [Radiomics](#content) + +* #### 非超声影像 +1. **Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer,** Clinical Cancer Research (2017) + + *Zhenyu Liu, Xiao-Yan Zhang,Yan-Jie Shi, Lin Wang, Hai-Tao Zhu, Zhenchao Tang, Shuo Wang, Xiao-Ting Li, Jie Tian, and Ying-Shi Sun* + +* #### 超声影像 +1. 面向淋巴结病变多分类鉴别的弹性和 B 型 双模态超声影像组学， 生物医学工程学杂志，2019年12月第36卷第6期 + + *石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2* + +### [Combination](#content) + +* ### Machine Learning & Radiomics + + + +* ### Deep Learning & Radiomics +1. **Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study,** GUT (2018) + + *Wang K, et al.* + +1. 基于影像组学和深度迁移学习的超声图像肝纤维化评估方法研究， 深圳大学，硕士学位论文 (2019) + + *赵万明* + +## [Related Research Platform](#content) ++ [中国科学院分子影像重点实验室](http://www.radiomics.net.cn/blog/3) diff --git a/Theory/Deep Learning/README.md b/Theory/Deep Learning/README.md new file mode 100644 index 0000000..da722c2 --- /dev/null +++ b/Theory/Deep Learning/README.md @@ -0,0 +1,95 @@ +# Must-read papers + +**本仓库主要分享AI结合医疗影像（CT/核磁/超声）领域值得一读的文章和资源**:blush: +集中在超声影像和深度学习 + +## [Content](#content) + + + + + + + + + + + + + + + + + + + + + +
1. Theory
 1.1 Machine Learning 1.2 Deep Learning
 1.3 Radiomics
2. Application
 2.1 Machine Learning 2.2 Deep Learning
 2.3 Radiomics 2.4 Combination
3. Related Research Platform
+ +## [Theory](#content) + + + + +### [Machine Learning Theory](#content) + + + + +### [Deep Learning Theory](#content) + + + + +### [Radiomics Theory](#content) + + + + +## [Application](#content) + +### [Machine Learning](#content) +1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018) + + *Maja Cikes1, Sergio Sanchez-Martinez, Brian Claggett, Nicolas Duchateau, Gemma Piella, Constantine Butakoff, Anne Catherine Pouleur, Dorit Knappe, Tor Biering-Sørensen, Valentina Kutyifa, Arthur Moss, Kenneth Stein, Scott D. Solomon, and Bart Bijnens* + +1. **Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network** Nature Medicine 25, 65–69(2019) + + *Awni Y. Hannun Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng* + + +### [Deep Learning](#content) +1. 基于深度学习的医学CT图像中器官的区域检测， 南京师范大学，硕士学位论文 (2018) + + *嵇伟伟* + +### [Radiomics](#content) + +* #### 非超声影像 +1. **Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer,** Clinical Cancer Research (2017) + + *Zhenyu Liu, Xiao-Yan Zhang,Yan-Jie Shi, Lin Wang, Hai-Tao Zhu, Zhenchao Tang, Shuo Wang, Xiao-Ting Li, Jie Tian, and Ying-Shi Sun* + +* #### 超声影像 +1. 面向淋巴结病变多分类鉴别的弹性和 B 型 双模态超声影像组学， 生物医学工程学杂志，2019年12月第36卷第6期 + + *石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2* + +### [Combination](#content) + +* ### Machine Learning & Radiomics + + + +* ### Deep Learning & Radiomics +1. **Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study,** GUT (2018) + + *Wang K, et al.* + +1. 基于影像组学和深度迁移学习的超声图像肝纤维化评估方法研究， 深圳大学，硕士学位论文 (2019) + + *赵万明* + +## [Related Research Platform](#content) ++ [中国科学院分子影像重点实验室](http://www.radiomics.net.cn/blog/3) diff --git a/Theory/Machine Learning/README.md b/Theory/Machine Learning/README.md new file mode 100644 index 0000000..da722c2 --- /dev/null +++ b/Theory/Machine Learning/README.md @@ -0,0 +1,95 @@ +# Must-read papers + +**本仓库主要分享AI结合医疗影像（CT/核磁/超声）领域值得一读的文章和资源**:blush: +集中在超声影像和深度学习 + +## [Content](#content) + + + + + + + + + + + + + + + + + + + + + +
1. Theory
 1.1 Machine Learning 1.2 Deep Learning
 1.3 Radiomics
2. Application
 2.1 Machine Learning 2.2 Deep Learning
 2.3 Radiomics 2.4 Combination
3. Related Research Platform
+ +## [Theory](#content) + + + + +### [Machine Learning Theory](#content) + + + + +### [Deep Learning Theory](#content) + + + + +### [Radiomics Theory](#content) + + + + +## [Application](#content) + +### [Machine Learning](#content) +1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018) + + *Maja Cikes1, Sergio Sanchez-Martinez, Brian Claggett, Nicolas Duchateau, Gemma Piella, Constantine Butakoff, Anne Catherine Pouleur, Dorit Knappe, Tor Biering-Sørensen, Valentina Kutyifa, Arthur Moss, Kenneth Stein, Scott D. Solomon, and Bart Bijnens* + +1. **Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network** Nature Medicine 25, 65–69(2019) + + *Awni Y. Hannun Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng* + + +### [Deep Learning](#content) +1. 基于深度学习的医学CT图像中器官的区域检测， 南京师范大学，硕士学位论文 (2018) + + *嵇伟伟* + +### [Radiomics](#content) + +* #### 非超声影像 +1. **Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer,** Clinical Cancer Research (2017) + + *Zhenyu Liu, Xiao-Yan Zhang,Yan-Jie Shi, Lin Wang, Hai-Tao Zhu, Zhenchao Tang, Shuo Wang, Xiao-Ting Li, Jie Tian, and Ying-Shi Sun* + +* #### 超声影像 +1. 面向淋巴结病变多分类鉴别的弹性和 B 型 双模态超声影像组学， 生物医学工程学杂志，2019年12月第36卷第6期 + + *石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2* + +### [Combination](#content) + +* ### Machine Learning & Radiomics + + + +* ### Deep Learning & Radiomics +1. **Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study,** GUT (2018) + + *Wang K, et al.* + +1. 基于影像组学和深度迁移学习的超声图像肝纤维化评估方法研究， 深圳大学，硕士学位论文 (2019) + + *赵万明* + +## [Related Research Platform](#content) ++ [中国科学院分子影像重点实验室](http://www.radiomics.net.cn/blog/3) diff --git a/Theory/README.md b/Theory/README.md new file mode 100644 index 0000000..da722c2 --- /dev/null +++ b/Theory/README.md @@ -0,0 +1,95 @@ +# Must-read papers + +**本仓库主要分享AI结合医疗影像（CT/核磁/超声）领域值得一读的文章和资源**:blush: +集中在超声影像和深度学习 + +## [Content](#content) + + + + + + + + + + + + + + + + + + + + + +
1. Theory
 1.1 Machine Learning 1.2 Deep Learning
 1.3 Radiomics
2. Application
 2.1 Machine Learning 2.2 Deep Learning
 2.3 Radiomics 2.4 Combination
3. Related Research Platform
+ +## [Theory](#content) + + + + +### [Machine Learning Theory](#content) + + + + +### [Deep Learning Theory](#content) + + + + +### [Radiomics Theory](#content) + + + + +## [Application](#content) + +### [Machine Learning](#content) +1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018) + + *Maja Cikes1, Sergio Sanchez-Martinez, Brian Claggett, Nicolas Duchateau, Gemma Piella, Constantine Butakoff, Anne Catherine Pouleur, Dorit Knappe, Tor Biering-Sørensen, Valentina Kutyifa, Arthur Moss, Kenneth Stein, Scott D. Solomon, and Bart Bijnens* + +1. **Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network** Nature Medicine 25, 65–69(2019) + + *Awni Y. Hannun Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng* + + +### [Deep Learning](#content) +1. 基于深度学习的医学CT图像中器官的区域检测， 南京师范大学，硕士学位论文 (2018) + + *嵇伟伟* + +### [Radiomics](#content) + +* #### 非超声影像 +1. **Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer,** Clinical Cancer Research (2017) + + *Zhenyu Liu, Xiao-Yan Zhang,Yan-Jie Shi, Lin Wang, Hai-Tao Zhu, Zhenchao Tang, Shuo Wang, Xiao-Ting Li, Jie Tian, and Ying-Shi Sun* + +* #### 超声影像 +1. 面向淋巴结病变多分类鉴别的弹性和 B 型 双模态超声影像组学， 生物医学工程学杂志，2019年12月第36卷第6期 + + *石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2* + +### [Combination](#content) + +* ### Machine Learning & Radiomics + + + +* ### Deep Learning & Radiomics +1. **Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study,** GUT (2018) + + *Wang K, et al.* + +1. 基于影像组学和深度迁移学习的超声图像肝纤维化评估方法研究， 深圳大学，硕士学位论文 (2019) + + *赵万明* + +## [Related Research Platform](#content) ++ [中国科学院分子影像重点实验室](http://www.radiomics.net.cn/blog/3) diff --git a/Theory/Radiomics/README.md b/Theory/Radiomics/README.md new file mode 100644 index 0000000..da722c2 --- /dev/null +++ b/Theory/Radiomics/README.md @@ -0,0 +1,95 @@ +# Must-read papers + +**本仓库主要分享AI结合医疗影像（CT/核磁/超声）领域值得一读的文章和资源**:blush: +集中在超声影像和深度学习 + +## [Content](#content) + + + + + + + + + + + + + + + + + + + + + +
1. Theory
 1.1 Machine Learning 1.2 Deep Learning
 1.3 Radiomics
2. Application
 2.1 Machine Learning 2.2 Deep Learning
 2.3 Radiomics 2.4 Combination
3. Related Research Platform
+ +## [Theory](#content) + + + + +### [Machine Learning Theory](#content) + + + + +### [Deep Learning Theory](#content) + + + + +### [Radiomics Theory](#content) + + + + +## [Application](#content) + +### [Machine Learning](#content) +1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018) + + *Maja Cikes1, Sergio Sanchez-Martinez, Brian Claggett, Nicolas Duchateau, Gemma Piella, Constantine Butakoff, Anne Catherine Pouleur, Dorit Knappe, Tor Biering-Sørensen, Valentina Kutyifa, Arthur Moss, Kenneth Stein, Scott D. Solomon, and Bart Bijnens* + +1. **Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network** Nature Medicine 25, 65–69(2019) + + *Awni Y. Hannun Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng* + + +### [Deep Learning](#content) +1. 基于深度学习的医学CT图像中器官的区域检测， 南京师范大学，硕士学位论文 (2018) + + *嵇伟伟* + +### [Radiomics](#content) + +* #### 非超声影像 +1. **Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer,** Clinical Cancer Research (2017) + + *Zhenyu Liu, Xiao-Yan Zhang,Yan-Jie Shi, Lin Wang, Hai-Tao Zhu, Zhenchao Tang, Shuo Wang, Xiao-Ting Li, Jie Tian, and Ying-Shi Sun* + +* #### 超声影像 +1. 面向淋巴结病变多分类鉴别的弹性和 B 型 双模态超声影像组学， 生物医学工程学杂志，2019年12月第36卷第6期 + + *石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2* + +### [Combination](#content) + +* ### Machine Learning & Radiomics + + + +* ### Deep Learning & Radiomics +1. **Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study,** GUT (2018) + + *Wang K, et al.* + +1. 基于影像组学和深度迁移学习的超声图像肝纤维化评估方法研究， 深圳大学，硕士学位论文 (2019) + + *赵万明* + +## [Related Research Platform](#content) ++ [中国科学院分子影像重点实验室](http://www.radiomics.net.cn/blog/3)