基于多层级特征自适应融合的图像分割算法
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袁小平,何祥,王小倩,胡杨明
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Image segmentation algorithm based on multi-level feature adaptive fusion
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Xiao-ping YUAN,Xiang HE,Xiao-qian WANG,Yang-ming HU
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表 1 动物细胞分割任务对比试验和消融研究结果 |
Tab.1 Results of comparative tests and ablation studies of animal cell segmentation tasks |
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方法 | IOU | Dice | L | P | tr/ms | FCN | 0.7421 | 0.8320 | 0.0661 | 0.8751 | 67 | Unet | 0.8705 | 0.9207 | 0.0637 | 0.9187 | 74 | UnetPlus | 0.9858 | 0.9879 | 0.0020 | 0.9891 | 141 | DenseASPP | 0.9862 | 0.9898 | 0.0003 | 0.9999 | 588 | DeepLabV3 | 0.9874 | 0.9898 | 0.0002 | 0.9999 | 626 | Base(Unet) | 0.8705 | 0.9207 | 0.0637 | 0.9187 | 74 | Base+采样加权模块 | 0.9584 | 0.9786 | 0.0334 | 0.9467 | 64 | Base+多层级自适应融合模块 | 0.9650 | 0.9647 | 0.0398 | 0.9374 | 509 | 本文方法 | 0.9898 | 0.9882 | 0.0001 | 0.9992 | 288 |
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