| 辛仲宏,雷军强,郭城,张亚萍,陈梓娴.深度学习用于宫颈癌诊疗研究进展[J].中国医学影像技术,2022,38(5):779~782 |
| 深度学习用于宫颈癌诊疗研究进展 |
| Research progresses of deep learning in diagnosis and treatment of cervical cancer |
| 投稿时间：2021-02-28 修订日期：2021-10-17 |
| DOI：10.13929/j.issn.1003-3289.2022.05.033 |
| 中文关键词: 宫颈肿瘤 深度学习 |
| 英文关键词:cervical neoplasms deep learning |
| 基金项目:甘肃省自然科学基金(20JR10RA684)。 |
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| 中文摘要: |
| 宫颈癌(CC)居于女性恶性肿瘤第二位,严重危害女性健康和生命,成为全球关注的健康问题。人工智能(AI)是利用计算机程序模拟、延伸和拓展人的智能行为的科学;以AI为核心技术的智能医学是医学未来发展的重要方向。深度学习(DL)为AI新领域,在图像分析领域展示出巨大应用潜力,用于诊断及鉴别诊断肿瘤、指导治疗及预测预后等具有特有优势。本文对DL用于筛查和诊断CC、指导治疗及判断预后的现状、问题及前景进行综述。 |
| 英文摘要: |
| Cervical cancer (CC) is the second most common female malignant tumor, which seriously endangers women's health and life and has become a global health problem. Artificial intelligence (AI) is a science that use computer programs to simulate, extend and expand human intelligent behavior. Taken AI as the core technology, intelligent medicine is an important direction of medical development in the future. Deep learning (DL) is a new field of AI, having great application potential in the field of image analysis and unique advantages in diagnosing and differentiating tumors, guiding treatment and predicting prognosis. The current situation, problems and prospects of DL in screening, diagnosis, guiding treatment and predicting prognosis of CC were reviewed in this article. |
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