From d39622e946e8d58e221b423bf4628b90da8a85e5 Mon Sep 17 00:00:00 2001
From: Tinger-ztt <57308640+Tinger-ztt@users.noreply.github.com>
Date: Wed, 11 Nov 2020 22:56:21 +0800
Subject: [PATCH] Update README.md

---
 README.md | 32 +++++++++++++++-----------------
 1 file changed, 15 insertions(+), 17 deletions(-)

diff --git a/README.md b/README.md
index ab60bda..865dfa9 100644
--- a/README.md
+++ b/README.md
@@ -21,8 +21,9 @@
     <td>&ensp;<a href="#deep-learning">2.2 Deep Learning</a></td>
 </tr>
 <tr>
-    <td>&emsp;<a href="#radiomics">2.3 Radiomics</a></td>
-    <td>&ensp;<a href="#combination">2.4 Combination</a></td>
+    <td>&emsp;<a href="#radiomics">1.3 Radiomics</a></td>
+    <td>&ensp;<a href="#combination">2.2 Deep Learning</a></td>
+    <td></td>
 </tr>
 <tr><td colspan="2"><a href="related-research-platform">3. Related Research Platform</a></td></tr>
 </table>
@@ -38,42 +39,39 @@
 ## [Application related](#content)  
 
 ### [Machine Learning](#content)  
-* #### 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)
-
-    *Awni Y. Hannun  Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng*
-
-* #### 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)
 
     *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*
 
 
 ### [Deep Learning](#content)
+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*
+    
+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*
 
 ### [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)
 
     *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
 
     *石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2*
 
 ### [Combination](#content)
+* ### Machine Learning & Radiomics
 
-* #### 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)
-
-    *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)
+* ### 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)
 
     *赵万明*