LM-Net reports state-of-the-art medical segmentation results on Kvasir-SEG, LGG, and breast ultrasound datasets with 5.4M parameters, using combined multi-branch convolutions, local window attention, and global feature-pyramid attention.
A review of deep learning segmentation methods for carotid artery ultrasound images
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LM-Net: A Light-weight and Multi-scale Network for Medical Image Segmentation
LM-Net reports state-of-the-art medical segmentation results on Kvasir-SEG, LGG, and breast ultrasound datasets with 5.4M parameters, using combined multi-branch convolutions, local window attention, and global feature-pyramid attention.