7.8 KiB
Must-read papers
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😊
集中在超声影像和深度学习
Content
| 1. Theory | |
| 1.1 Machine Learning | 1.2 Deep Learning |
| 1.3 Radiomics | |
| 2. Applications | |
| 2.1 Machine Learning | 2.2 Deep Learning |
| 2.3 Radiomics | 2.4 Combination |
| 3. Related Research Platform | |
Theory
Machine Learning Theory
Deep Learning Theory
Radiomics Theory
Applications
Machine Learning
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Machine learning-based phenogrouping in heart failure to identify responders to cardiac resynchronization therapy, European Journal of Heart Failure (2018) *[read]*
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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Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network, Nature Medicine 25, 65–69(2019) *[read]*
Awni Y. Hannun Pranav Rajpurkar, Masoumeh Haghpanahi, Geoffrey H. Tison, Codie Bourn, Mintu P. Turakhia and Andrew Y. Ng
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Performance and Reading Time of Automated Breast US with or without Computer-aided, Radiology 292:540–549(2019) *[read]*
Shanling Yang, MD • Xican Gao, MD • Liwen Liu, PhD, MD • Rui Shu, MD • Jingru Yan, MD • Ge Zhang, MD • Yao Xiao, MD • Yan Ju, MS • Ni Zhao, MD • Hongping Song, PhD, MD
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Impact of Data Presentation on Physician Performance Utilizing ArtificialIntelligence-Based Computer-Aided Diagnosis and DecisionSupport Systems, Journal of Digital Imaging 32:408–416 (2019) *[read]*
L. Barinov1,2,3 A. Jairaj1 M. Becker3,4 SSeymour1 E. Lee3,4 A. Schram3,4&E. Lane4&A. Goldszal3,4 D. Quigley4 L. Paster3,4
Deep Learning
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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) *[read]*
嵇伟伟
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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]*
王海星1，杨志清1，郭玲玲1，郭燕青1，张 靓1，齐 昊1，2
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Management of Thyroid Nodules Seen on US Images:Deep Learning May Match Performance of Radiologists， Radiology 292:695–701(2019) *[read]*
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
Radiomics
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非超声影像
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Radiomics Analysis for Evaluation of Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer, Clinical Cancer Research (2017) *[read]*
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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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 *[read]*
石颉1, 2，江建伟3，常婉英3，陈曼3，张麒1, 2
Combination
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Machine Learning & Radiomics
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Deep Learning & Radiomics
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Deep learning Radiomics of shear wave elastography significantly improved diagnostic performance for assessing liver fibrosis in chronic hepatitis B: a prospective multicentre study, GUT (2018) *[read]*
Wang K, et al.
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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) *[read]*
赵万明