Dual Cross-Attention for Medical Image Segmentation

We propose Dual Cross-Attention (DCA), a simple yet effective attention module that is able to enhance skip-connections in U-Net-based architectures for medical image segmentation. DCA addresses the semantic gap between encoder and decoder features by sequentially capturing channel and spatial depen...

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Veröffentlicht in:	arXiv.org 2023-03
Hauptverfasser:	Gorkem Can Ates, Mohan, Prasoon, Celik, Emrah
Format:	Artikel
Sprache:	eng
Schlagworte:	Coders Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Encoders-Decoders Image enhancement Image segmentation Medical imaging Modules Spatial dependencies
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