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生物通
9 天
基于 YOLOv5 和深度可分离卷积神经网络的两阶段轻量级深度学习框架 ...
为检测乳腺肿块,研究人员选用了 YoloV5 和 YoloV8 架构进行迁移学习,重点优化了 YoloV5n6 和 YoloV8n 等轻量级版本。对于肿块分割,他们先是在预训练的 U-Net 模型上应用迁移学习,评估不同参数和架构设计的性能,之后又从头开始训练浅层神经网络,尝试平衡模型 ...
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