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Updated: Feb 13, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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基于YOLOv11n的增强乳腺癌检测框架,具有多尺度特征校准

Ziqiong He1, Chen Zhang2, Chen Liang3

  • 1Research Institute of General Surgery, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.

Scientific reports
|February 11, 2026
PubMed
概括

这项研究引入了一个先进的YOLOv11n框架,用于改进乳腺癌病变检测. 新的架构增强了检测小,复杂的病变,显著提高准确性,以获得更好的患者结果.

关键词:
乳腺癌检测 乳腺癌检测这是一个C2CGA模块.在C3k2-DCNv2-Dynamic模块中使用.这是CSFCN模块.医学成像医学成像这是YOLOv11n.

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