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Image segmentation based on U-Net plus plus ?network method to identify Bacillus Subtilis cells in micro-droplets

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Sharp U-Net: Depthwise convolutional network for biomedical image segmentation

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Summary: Sharp U-Net architecture addresses the issues of blurred feature maps and over-/under-segmented target regions by employing a depthwise convolution before merging encoder and decoder features. The model consistently outperforms recent baselines in both binary and multi-class biomedical image segmentation tasks, while adding no extra learnable parameters and surpassing baselines with more than three times the number of parameters.

COMPUTERS IN BIOLOGY AND MEDICINE (2021)

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Article Computer Science, Artificial Intelligence