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06/29/2021
SinGAN-Seg: Synthetic Training Data Generation for Medical Image Segmentation
Processing medical data to find abnormalities is a time-consuming and co...
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06/08/2021
PolypGen: A multi-center polyp detection and segmentation dataset for generalisability assessment
Polyps in the colon are widely known as cancer precursors identified by ...
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06/06/2021
Few-shot segmentation of medical images based on meta-learning with implicit gradients
Classical supervised methods commonly used often suffer from the require...
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05/16/2021
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Methods based on convolutional neural networks have improved the perform...
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11/16/2019
Kvasir-SEG: A Segmented Polyp Dataset
Pixel-wise image segmentation is a highly demanding task in medical-imag...
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11/16/2019
