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在使用深 convolutional 神经网络的超快速查MRI中定位对比增强的乳腺病变

Xueping Jing1, Monique D Dorrius2, Sunyi Zheng3

  • 1Department of Radiation Oncology, and Data Science Center in Health (DASH), Machine Learning Lab, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9713 GZ, Groningen, The Netherlands. x.jing@umcg.nl.

European radiology
|September 1, 2023
PubMed
概括

这项研究引入了一种深度学习方法,用于在超快的MRI扫描中检测乳腺病变. 该系统使用YOLOv5和LSTM网络来实现高灵敏度并减少查中的错误阳性.

关键词:
乳腺新生体的形成.深度学习是一种深度学习.早期发现癌症的早期发现磁共振成像技术 磁共振成像技术

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