在胎儿标准平面检测中,对比原型联合学习对抗噪音标签
Maria Chiara Fiorentino1, Giovanna Migliorelli2, Francesca Pia Villani3
1Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy. m.c.fiorentino@staff.univpm.it.
概括
这项研究增强了用于胎儿超声波标准平面检测的联合学习 (FL). 我们的联合拒绝框架通过噪音标签和各种数据大小来提高准确性,保护隐私.
科学领域:
- 医疗成像医学成像
- 机器学习 机器学习
- 联邦学习学习 (Federated Learning) 是一种学习方式.
背景情况:
- 医学成像学中的联合学习 (FL) 面临着杂的标签和数据异质性的挑战.
- 准确的胎儿标准平面检测对于产前诊断至关重要.
研究的目的:
- 改进超声波胎儿标准平面检测的联合学习.
- 为了应对分散客户端中噪音标签和数据大小变化的挑战.
- 建议使用原型来改进标签和增强预测,同时维护隐私的联合拒绝框架.
主要方法:
- 应用对比式学习 (SimCLR) 对最大的数据集进行强大的嵌入.
- 使用嵌入式和k-最近的邻居策略来提高噪音的标签.
- 共享图像原型和训练有素的骨干与较小的客户指导FL.
- 实施了以多数投票的方式实施整体策略,以优化标签的精细化和最大限度地减少数据丢弃.
主要成果:
- 拟议的框架表现出比传统的FL方法更高的性能.
- 在所有胎儿标准平面中获得最高的平均F1分数.
- 在标准飞机检测中展示了改进的准确性.
结论:
- 联合无线化策略有效地提高了胎儿标准平面检测.
- 高质量的原型能够实现强大的性能,尽管有噪音和异质的数据.
- 这种方法确保在联合学习环境中保护隐私.
相关概念视频
01:22Force Classification
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
01:05Difference from Background: Limit of Detection
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...