Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation

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Collaborative networks of transformers and convolutional neural networks are powerful and versatile learners for accurate 3D medical image segmentation

Cited by 3 publications

References 25 publications

HCA-former: Hybrid Convolution Attention Transformer for 3D Medical Image Segmentation

HCA-former: Hybrid Convolution Attention Transformer for 3D Medical Image Segmentation

Spider-Net: High-resolution multi-scale attention network with full-attention decoder for tumor segmentation in kidney, liver and pancreas

Towards accurate abdominal tumor segmentation: A 2D model with Position-Aware and Key Slice Feature Sharing

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