| 刘芳欣,王洲,任永凤,李健.乳腺超声人工智能应用进展[J].中国医学影像技术,2021,37(11):1731~1734 |
| 乳腺超声人工智能应用进展 |
| Application progresses of breast ultrasound artificial intelligence |
| 投稿时间：2020-12-13 修订日期：2021-07-24 |
| DOI：10.13929/j.issn.1003-3289.2021.11.032 |
| 中文关键词: 乳腺疾病 超声检查 人工智能 诊断,计算机辅助 神经网络,计算机 |
| 英文关键词:breast diseases ultrasonography artificial intelligence diagnosis, computer-assisted neural networks, computer |
| 基金项目:安徽理工大学校级资助项目（QN2019137）。 |
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| 摘要点击次数: 2017 |
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| 中文摘要: |
| 乳腺癌是女性最常见癌症之一，早期筛查、诊断对改善预后、降低死亡率至关重要。近年来，随着计算机性能的提高、海量医学影像数据的累积及新算法的不断出现，乳腺超声领域中人工智能（AI）研发已取得重大突破。乳腺超声AI可自动识别成像信息并定量评价，更准确、快速地诊断乳腺疾病。本文对AI在乳腺超声中的研究及应用现状进行综述。 |
| 英文摘要: |
| Breast cancer is one of the most common cancers in women. Early screening and diagnosis are essential to improve prognosis and reduce mortality. In recent years, with the improvement of computer performance, the storage of massive medical image data and the continuous emergence of new algorithms, the development of artificial intelligence (AI) in the field of breast ultrasound has made a major breakthrough. Breast ultrasound AI can automatically identify and quantitatively evaluating imaging information to accurately and quickly diagnose breast diseases. The research and application progresses of AI in breast ultrasound were reviewed in this paper. |
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