Sep 29, 2020 · We propose a simple and intuitive approach to (biomedical) image semantic segmentation and regard it as a vertex-wise boundary regression ...
Jan 13, 2024 · This paper proposes a straightforward, intuitive deep learning approach for (biomedical) image segmentation tasks. Different from the existing ...
– We take a simple and intuitive approach to (biomedical) image semantic segmentation and regard it as a vertex-wise boundary regression problem in an end-to- ...
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This paper proposes a straightforward, intuitive deep learn- ing approach for (biomedical) image segmentation tasks. Different from the existing dense pixel ...
Sep 29, 2020 · Accurate segmentation of anatomic structure is an essential task for biomedical image analysis. Recent popular object contours regression ...
A novel multilevel aggregation network to directly regress the coordinates of the boundary of instances in an end-to-end manner and seamlessly combines ...
CNN-GCN aggregation enabled boundary regression for biomedical image segmentation. Y Meng, M Wei, D Gao, Y Zhao, X Yang, X Huang, Y Zheng. Medical Image ...
Jan 11, 2024 · This paper proposes a straightforward, intuitive deep learning approach for (biomedical) image segmentation tasks.
This paper proposes a straightforward, intuitive deep learning approach for (biomedical) image segmentation tasks. Different from the existing dense pixel ...
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The left graph of Fig. 1 illustrates how fetal head (FH) boundaries are repre- sented to make it compatible for GCN. The boundary is represented by equally.
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