| 摘要: |
| 医学影像技术在疾病的检测、诊断和治疗中起着重要作用。由于人类专家经验的不稳定性，机器学习技术有望辅助研究人员和医师以提高影像诊疗的准确性和减少医疗资源的不均衡性。本文系统概述了深度学习技术的一些方法，介绍了医学影像学中的深度学习技术的应用研究，同时讨论了深度学习技术在医学影像中的局限性。 |
| 关键词: 人工智能 深度学习 医学影像 大数据 |
| DOI：10.16781/j.0258-879x.2018.08.0859 |
| 投稿时间：2018-06-29修订日期：2018-07-17 |
| 基金项目: |
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| Application of deep learning in medical imaging: hope or trap? |
| ZHAO Liang* |
(Digital Medicine Research Center of Fudan University, Shanghai Medical Image Processing and Digital Diagnosis Key Laboratory, Shanghai 201203, China
*Corresponding author) |
| Abstract: |
| Medical imaging technology plays an important role in the detection, diagnosis and treatment of diseases. Due to the instability of human expert experience, machine learning technology is expected to assist researchers and doctors to improve the accuracy of imaging diagnosis and treatment and reduce the imbalance of medical resources. In this paper, we systematically summarized the methods of deep learning technology, introduced the application of deep learning in medical imaging, and discussed the limitations of deep learning technology in medical imaging. |
| Key words: artificial intelligence deep learning medical imaging big data |
