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乳房超声波图像分析软件在特征分析中的准确性:与超声波仪的比较研究
Zuxin Wang1,2, Chen Xu1, Jun Zhou3
1Department of Public Health, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, 1111 Xianxia Road, Shanghai, 200335, China.
Scientific reports
|December 27, 2024
概括
人工智能 (AI) 软件在分析超声波图像中的乳腺结节特征方面表现出高精度,显著减少了超声波仪的工作量和早期乳腺癌检测分析时间.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 在瘤学瘤学.
背景情况:
- 乳房超声波对于中国的乳腺癌早期检测至关重要.
- 越来越多的成像数据量给超声波仪带来了巨大的负担.
- 对乳腺结节特征的自动分析可以减轻这种工作负载.
研究的目的:
- 评估人工智能 (AI) 软件和超声波仪在分析乳腺结节特征方面的协议.
- 评估AI软件在乳房超声波图像分析中的准确性和效率.
- 确定人工智能在减轻超声波工作量方面的潜力.
主要方法:
- 分析了来自上海两家医院的乳房超声波图像.
- 人工智能软件和超声波评估的特征:回声纹理,回声模式,方向,形状,边缘,化和后背回声减弱.
- 使用比例的协议和科恩的卡帕来衡量协议;分析时间也进行了比较.
主要成果:
- 对于大多数特征 (80.5%-93.7%) 观察到高达成比例.
- 科恩的卡帕表示大多数特征中适度至实质性的协议 (0.411-0.674),对化 (0.335) 公平.
- 与超声波相比,人工智能软件显著减少了分析时间 (P < 0.001).
结论:
- 人工智能软件在乳腺结节特征分析中表现出高精度和效率.
- 人工智能提供了一种可行的解决方案,可以减少乳房超声波中的超声波仪的工作量.
- 人工智能自动化特征分析可以增强医疗保健,特别是在服务不足的地区.
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