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<td>&emsp;<a href="#radiomics">2.3 Radiomics</a></td> <td>&emsp;<a href="#radiomics">2.3 Radiomics</a></td>
<td>&ensp;<a href="#combination">2.4 Combination</a></td> <td>&ensp;<a href="#combination">2.4 Combination</a></td>
</tr> </tr>
<tr><td colspan="2"><a href="literature-review">3. Literature review</a></td></tr> <tr><td colspan="2"><a href="servey-and-review">3. Servey And Review</a></td></tr>
<tr><td colspan="2"><a href="related-research-platform">4. Related Research Platform</a></td></tr> <tr><td colspan="2"><a href="related-research-platform">4. Related Research Platform</a></td></tr>
</table> </table>
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*Mateusz Buda, MSc • Benjamin Wildman-Tobriner, MD • Jenny K. Hoang, MBBS, MHS • David Thayer, PhD, MD •Franklin N. Tessler, MD • William D. Middleton, MD • Maciej A. Mazurowski, PhD* *Mateusz Buda, MSc • Benjamin Wildman-Tobriner, MD • Jenny K. Hoang, MBBS, MHS • David Thayer, PhD, MD •Franklin N. Tessler, MD • William D. Middleton, MD • Maciej A. Mazurowski, PhD*
1. **Liver fibrosis classification based on transfer learning and FCNet for ultrasound images，** IEEE (2017) [*[read]*](/Applications/Deep%20Learning/Liver%20fibrosis%20classification%20based%20on%20transfer%20learning%20and%20FCNet%20for%20ultrasound%20images.pdf) 1. **Liver fibrosis classification based on transfer learning and FCNet for ultrasound images，** IEEE Access (2017) [*[read]*](/Applications/Deep%20Learning/Liver%20fibrosis%20classification%20based%20on%20transfer%20learning%20and%20FCNet%20for%20ultrasound%20images.pdf)
*DAN MENG, LIBO ZHANG, GUITAO CAO, WENMING CAO, GUIXU ZHANG, AND BING HU* *DAN MENG, LIBO ZHANG, GUITAO CAO, WENMING CAO, GUIXU ZHANG, AND BING HU*
@ -112,19 +112,25 @@
*赵万明* *赵万明*
## [Literature review](#content) ## [Survey And Review](#content)
1. 计算机辅助诊断技术在超声医学中的应用进展, 综述，肿瘤影像学，2019年第28卷第5期[*[read]*](/Literature%20review/计算机辅助诊断技术在超声医学中的应用进展.pdf) 1. 计算机辅助诊断技术在超声医学中的应用进展, 综述，肿瘤影像学，2019年第28卷第5期[*[read]*](/Servey%20And%20Review/计算机辅助诊断技术在超声医学中的应用进展.pdf)
*毕　珂，王　茵* *毕　珂，王　茵*
1. 人工智能时代超声医学新发展，综述，第二军医大学学报，2019 年 5 月第 40 卷第 5 期[*[read]*](/Literature%20review/人工智能时代超声医学新发展.pdf) 1. 人工智能时代超声医学新发展，综述，第二军医大学学报，2019 年 5 月第 40 卷第 5 期[*[read]*](/Servey%20And%20Review/人工智能时代超声医学新发展.pdf)
*赵佳琦，刁宗平，徐  琪，章建全* *赵佳琦，刁宗平，徐  琪，章建全*
1. 基于大数据和人工智能的超声医学发展现状及问题研究， 综述，肿瘤影像学，2020年第29卷第4期 [*[read]*](/Literature%20review/%E5%9F%BA%E4%BA%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%92%8C%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%9A%84%E8%B6%85%E5%A3%B0%E5%8C%BB%E5%AD%A6%E5%8F%91%E5%B1%95%E7%8E%B0%E7%8A%B6%E5%8F%8A%E9%97%AE%E9%A2%98%E7%A0%94%E7%A9%B6.pdf) 1. 基于大数据和人工智能的超声医学发展现状及问题研究， 综述，肿瘤影像学，2020年第29卷第4期 [*[read]*](/Servey%20And%20Review/%E5%9F%BA%E4%BA%8E%E5%A4%A7%E6%95%B0%E6%8D%AE%E5%92%8C%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E7%9A%84%E8%B6%85%E5%A3%B0%E5%8C%BB%E5%AD%A6%E5%8F%91%E5%B1%95%E7%8E%B0%E7%8A%B6%E5%8F%8A%E9%97%AE%E9%A2%98%E7%A0%94%E7%A9%B6.pdf)
*王海星，杨志清，郭玲玲，郭燕青，张　靓，齐　昊* *王海星，杨志清，郭玲玲，郭燕青，张　靓，齐　昊*
1. 深度学习在医学超声图像分析中的应用综述，Engineering， 5(2): 261–275 (2019) [*[read]*](http://www.engineering.org.cn/ch/10.1016/j.eng.2018.11.020)[*[英文原文]*](https://doi.org/10.1016/j.eng.2018.11.020)
*刘盛锋，王毅，杨鑫，雷柏英，刘立，李享，倪东,汪天富*
## [Related Research Platform](#content) ## [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) + [中国科学院分子影像重点实验室](http://www.radiomics.net.cn/blog/3)
+ [Radiology](https://pubs.rsna.org/journal/radiology) + [Radiology](https://pubs.rsna.org/journal/radiology)