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评论"CAM-QUS引导的自调模块化CNN具有多损失功能,用于在超声波图像中完全自动进行乳腺损伤分类"

Norbert Żołek1, Anna Pawłowska1

  • 1Institute of Fundamental Technological Research Polish Academy of Sciences, Warsaw, Poland.

Physics in medicine and biology
|January 24, 2025
PubMed
概括

这项分析批判性地检查了先前研究的方法,在数据准备阶段发现了重大错误. 解决这些数据准备缺陷对于可靠的科学发现至关重要.

关键词:
数据的准确性数据的准确性研究的完整性研究的完整性机器学习是机器学习.超声波成像的成像方法

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