PCCA-Model: an attention module for medical image segmentation
LINJIE LIU, Guanglei Wang, * YANLIN WU, Hongrui Wang, AND YAN LI
2023-04-01Biomedical Optics Express 2023 4SegmentationSemantic SegmentationMedical Image SegmentationImage Segmentation
Abstract
Convolutional neural networks have been increasingly employed in the field of medical image segmentation. Based on the idea that the human visual cortex differs in terms of the size of the receptive field and can sense the stimulus location, we propose the pyramid channel coordinate attention (PCCA) module to fuse multiscale features in the channel direction, aggregate local and global channel information, combine them with the location information in the spatial direction, and then integrate them into the existing semantic segmentation network. We conducted numerous experiments on the datasets, namely LiTS, ISIC-2018, and CX, and obtained state-of-the-art results.
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