| 梁晓雯,陈智毅.图像分类技术在超声诊断甲状腺结节中的应用进展[J].中国医学影像技术,2018,34(10):1578~1581 |
| 图像分类技术在超声诊断甲状腺结节中的应用进展 |
| Application progresses of image classification in ultrasonic diagnosis of thyroid nodules |
| 投稿时间：2018-01-15 修订日期：2018-07-12 |
| DOI：10.13929/j.1003-3289.201801095 |
| 中文关键词: 图像处理,计算机辅助 甲状腺结节 超声检查 |
| 英文关键词:Image processing,computer-assisted Thyroid nodule Ultrasonography |
| 基金项目:广州市科技计划项目（201607010201）。 |
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| 中文摘要: |
| 甲状腺结节是颈部常见病变，发病率逐年攀升，早期诊断有助于制定后续治疗方案。超声是诊断甲状腺结节的重要影像学手段。超声新技术图像分类是以图像特征为基础的一种计算机辅助分类诊断技术。在大数据背景下，基于图像分类的智能化诊断模型可为甲状腺病灶提供精确、稳定、高效、可重复性好的超声诊断途径，有效减轻超声医师的工作负担，减少医师间诊断差异性。本文对超声图像分类技术诊断甲状腺疾病的应用进展进行综述。 |
| 英文摘要: |
| Thyroid nodule is one of the most common cervical lesions, whose incidence has been increasing significantly in recent years. Early diagnosis helps to determine the follow-up treatment. Ultrasound is an important imaging method for diagnosing thyroid nodules. The new ultrasound method of image classification is a computer-aided diagnostic technology based on image features. With the support of big data and cloud technology, the establishment of an intelligent diagnosis model based on image classification can provide an accurate, stable, highly efficient and reproducible ultrasound diagnosis pathway for thyroid nodules, which can effectively reduce workload and diagnostic differences among physicians. The application progresses of image classification in ultrasonic diagnosis of thyroid nodules were reviewed in this article. |
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