| 聂贞慧,刘丽东,苏丹柯.基于深度学习的X线诊断乳腺癌研究进展[J].中国医学影像技术,2019,35(5):774~777 |
| 基于深度学习的X线诊断乳腺癌研究进展 |
| Research progresses in mammographic diagnosis of breast cancer based on deep learning |
| 投稿时间：2018-08-30 修订日期：2019-02-26 |
| DOI：10.13929/j.1003-3289.201808196 |
| 中文关键词: 乳腺肿瘤 乳房X线摄影术 深度学习 卷积神经网络 |
| 英文关键词:breast neoplasms mammography deep learning convolutional neural network |
| 基金项目:国家自然科学基金（81760517）。 |
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| 摘要点击次数: 1923 |
| 全文下载次数: 986 |
| 中文摘要: |
| 乳腺癌是女性最常见的恶性肿瘤之一。乳腺X线摄影是诊断乳腺癌的重要手段，对早期病灶检出具有重要价值。近年来，深度学习因其高效率、高精度等特点成为医学领域的研究热点。已有研究将深度学习应用于X线诊断乳腺癌领域，证实其可提高诊断准确率、降低漏诊率。本文对深度学习在X线诊断乳腺癌中的研究进展进行综述。 |
| 英文摘要: |
| Breast cancer is one of the most common malignant tumors in women. Mammography is an important means of diagnosing breast cancer, which has great value for early detection of lesions. In recent years, deep learning is a research hotspot in the medical field due to its high efficiency and high precision. Relevant research has applied deep learning in the field of mammography, which improves the accuracy rate of diagnosis and reduces the rate of misdiagnosis in breast cancer. The research progresses of deep learning in mammographic diagnosis of breast cancer were reviewed in this article. |
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