Histopathology image segmentation plays a significant role in computational pathology, enabling automated analysis of histopathology images for disease diagnosis and prognosis. While deep learning ...
Fast, deployement-ready static image deraining model for autonomous driving, surveillance, and photo restoration. 30.9 PSNR / 0.914 SSIM on Rain1400 • ~15ms ...
Abstract: Accurate medical image segmentation is crucial in clinical applications. The existing Swin-UNet model overcomes the limitations of traditional Transformers in handling local details and high ...
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