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[基于更快的R-CNN的甲状腺结节超声图像的改进物体检测算法]

Tianlei Zheng1,2, Na Yang2, Shi Geng2

  • 1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China.

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
|October 22, 2023
PubMed
概括

这项研究引入了一种增强的Faster R-CNN算法,用于在超声图像中精确检测甲状腺结节. 改进的模型显著提高了识别甲状腺结节的准确性和回忆率.

关键词:
更快的R-CNN 在线对象检测检测对象检测对象检测在ResNetSt50中使用ResNetSt50甲状腺结节 甲状腺结节超声波图像中的超声波图像.

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