Collections
Discover the best community collections!
Collections trending this week
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Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
Paper • 2210.16898 • Published • 2 -
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Paper • 2305.00385 • Published • 2 -
Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
Paper • 2404.02731 • Published • 1
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3D Medical Image Segmentation based on multi-scale MPU-Net
Paper • 2307.05799 • Published • 2 -
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers
Paper • 2201.10981 • Published • 2 -
Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge
Paper • 2202.13588 • Published • 2
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Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images
Paper • 2106.05843 • Published • 2 -
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells
Paper • 2401.07278 • Published • 2
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Enforcing Morphological Information in Fully Convolutional Networks to Improve Cell Instance Segmentation in Fluorescence Microscopy Images
Paper • 2106.05843 • Published • 2 -
Semi-Supervised Semantic Segmentation using Redesigned Self-Training for White Blood Cells
Paper • 2401.07278 • Published • 2
-
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion Segmentation
Paper • 2210.16898 • Published • 2 -
Cross-Shaped Windows Transformer with Self-supervised Pretraining for Clinically Significant Prostate Cancer Detection in Bi-parametric MRI
Paper • 2305.00385 • Published • 2 -
Event Camera Demosaicing via Swin Transformer and Pixel-focus Loss
Paper • 2404.02731 • Published • 1
-
3D Medical Image Segmentation based on multi-scale MPU-Net
Paper • 2307.05799 • Published • 2 -
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers
Paper • 2201.10981 • Published • 2 -
Using Multi-scale SwinTransformer-HTC with Data augmentation in CoNIC Challenge
Paper • 2202.13588 • Published • 2