computer-vision-7
Attentive segmentation networks
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Multi-Scale Self-Guided Attention for Medical Image Segmentation
Ashish Sinha, J. Dolz•Thu Jun 06 2019
Compared to other state-of-the-art segmentation networks, this model yields better segmentation performance, increasing the accuracy of the predictions while reducing the standard deviation, which demonstrates the efficiency of the approach to generate precise and reliable automatic segmentations of medical images.
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