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<td>&ensp;<a href="#deep-learning">2.2 Deep Learning</a></td> <td>&ensp;<a href="#deep-learning">2.2 Deep Learning</a></td>
</tr> </tr>
<tr> <tr>
<td>&emsp;<a href="#radiomics">1.3 Radiomics</a></td> <td>&emsp;<a href="#radiomics">2.3 Radiomics</a></td>
<td>&ensp;<a href="#combination">2.2 Deep Learning</a></td> <td>&ensp;<a href="#combination">2.4 Combination</a></td>
<td></td> <td></td>
</tr> </tr>
<tr><td colspan="2"><a href="related-research-platform">3. Related Research Platform</a></td></tr> <tr><td colspan="2"><a href="related-research-platform">3. Related Research Platform</a></td></tr>
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*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*
### [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)
* ### Machine Learning & Radiomics * ### Machine Learning & Radiomics
* ### 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*