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## [Tool related](#content) ## [Tool related](#content)
### [Machine Learning Theory](#content) ### [Machine Learning Theory](#content)
### [Deep Learning Theory](#content) ### [Deep Learning Theory](#content)
### [Radiomics Theory](#content) ### [Radiomics Theory](#content)
## [Application related](#content) ## [Application related](#content)
### [Machine Learning](#content) ### [Machine Learning](#content)
@ -49,7 +61,7 @@
*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*
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) 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* *嵇伟伟*
@ -61,7 +73,7 @@
*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*
@ -72,7 +84,7 @@
* ### Deep Learning & Radiomics * ### Deep Learning & Radiomics
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) 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* *赵万明*