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# Must-read papers
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**本仓库主要分享AI结合医疗影像( CT/核磁/超声)领域值得一读的文章和资源**:blush:
集中在超声影像和深度学习
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## [Content](#content)
< table >
< tr > < td colspan = "2" > < a href = "#tool-related" > 1. Tool related< / a > < / td > < / tr >
< tr >
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< td >   < a href = "#machine-learning-theory" > 1.1 Machine Learning< / a > < / td >
< td >   < a href = "#deep-learning-theory" > 1.2 Deep Learning< / a > < / td >
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< / tr >
< tr >
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< td >   < a href = "#radiomics-theory" > 1.3 Radiomics< / a > < / td >
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< td > < / td >
< / tr >
< tr > < td colspan = "2" > < a href = "#application-related" > 2. Application related< / a > < / td > < / tr >
< tr >
< td >   < a href = "#machine-learning" > 2.1 Machine Learning< / a > < / td >
< td >   < a href = "#deep-learning" > 2.2 Deep Learning< / a > < / td >
< / tr >
< tr >
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< td >   < a href = "#radiomics" > 2.3 Radiomics< / a > < / td >
< td >   < a href = "#combination" > 2.4 Combination< / a > < / td >
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< td > < / td >
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< / tr >
< tr > < td colspan = "2" > < a href = "related-research-platform" > 3. Related Research Platform< / a > < / td > < / tr >
< / table >
## [Tool related](#content)
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### [Machine Learning Theory](#content)
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### [Deep Learning Theory](#content)
### [Radiomics Theory](#content)
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## [Application related](#content)
### [Machine Learning](#content)
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1. **Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy** European Journal of Heart Failure (2018)
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*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*
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### [Deep Learning](#content)
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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*
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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)
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*嵇伟伟*
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### [Radiomics](#content)
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* #### 非超声影像
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1. **Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer,** Clinical Cancer Research (2017)
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*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*
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* #### 超声影像
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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
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*石颉1, 2, 江建伟3, 常婉英3, 陈曼3, 张麒1, 2*
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### [Combination](#content)
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* ### Machine Learning & Radiomics
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* ### Deep Learning & Radiomics
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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)
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*赵万明*
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## [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 )