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## [Tool related](#content)
### [Machine Learning Theory](#content)
### [Deep Learning Theory](#content)
### [Radiomics Theory](#content)
## [Application related](#content)
### [Machine Learning](#content)
@ -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*
* #### 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*
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* ### 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*