vonpower/HealthCare
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Update README.md

Browse Source
This commit is contained in:
Tinger-ztt 2020-11-11 18:43:28 +08:00 committed by GitHub
parent 315033e424
commit b993af854e
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 11 additions and 10 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

21
README.md
View File

@ -1,6 +1,7 @@
# Must-read papers # Must-read papers
**本仓库主要分享在医疗影像（CT/核磁/超声）处理领域值得一读的文章**:blush: **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) ## [Content](#content)
@ -37,12 +38,12 @@
## [Application related](#content) ## [Application related](#content)
### [Machine Learning](#content) ### [Machine Learning](#content)
#### 有监督学习 * #### 有监督学习
1. **Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network** Nature Medicine 25, 65–69(2019) 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* *Awni Y. Hannun Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng*
#### 无监督学习 * #### 无监督学习
1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018) 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* *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*
@ -52,27 +53,27 @@
### [Radiomics](#content) ### [Radiomics](#content)
#### 非超声影像 * #### 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) 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* *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 * #### 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 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* *石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2*
### [Combination](#content) ### [Combination](#content)
#### 硕士学位论文 * #### 硕士学位论文
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 (2018) 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 (2018)
*嵇伟伟* *嵇伟伟*
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 (2019) 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 (2019)
*赵万明* *赵万明*