| 何佳倩,安兴伟,任贺成,黄楹,明东.计算机辅助诊断检测颅内动脉瘤进展[J].中国医学影像技术,2023,39(2):291~294 |
| 计算机辅助诊断检测颅内动脉瘤进展 |
| Progresses of computer aided diagnosis in detection of intracranial aneurysms |
| 投稿时间：2022-06-16 修订日期：2022-10-04 |
| DOI：10.13929/j.issn.1003-3289.2023.02.032 |
| 中文关键词: 颅内动脉瘤 诊断,计算机辅助 深度学习 |
| 英文关键词:intracranial aneurysm diagnosis, computer-assisted deep learning |
| 基金项目:天津市科技计划项目（20JCZDJC00620）。 |
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| 中文摘要: |
| 颅内动脉瘤（IA）是危及患者生命的常见脑血管疾病。通过智能化学习、处理图像特征模式，基于深度学习的计算机辅助诊断（CAD）在提高诊断IA准确率、降低假阳性及减轻临床医师工作负担方面显示出巨大潜力。本文就CAD用于检测IA进展进行综述。 |
| 英文摘要: |
| Intracranial aneurysm (IA) is a common life-threatening cerebrovascular disease. Based on deep learning,computer aided diagnosis (CAD) showed great potential for improving diagnostic accuracy of IA and reducing false positives, also for reducing workload of clinicians by intelligently study and processing feature patterns of images. The progresses of CAD for detecting IA were reviewed in this paper. |
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