使YOLO.

Anongnat Intasam1, Nicholas Piyawattanametha2, Yuttachon Promworn1

  • 1Department of Biomedical Engineering, School of Engineering, King Mongkut's Institute of Technology Ladkrabang, Ladkrabang, Bangkok 10520, Thailand.

Cancers
|January 10, 2026
PubMed
概括

在NVIDIA Jetson Nano上的YOLOv11n模型为资源有限的设置提供了精确的乳房扫描病变检测. 这种负担得起的系统提供了与昂贵的GPU设置相当的性能,提高了早期乳腺癌查的可访问性.

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