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22 October 2024 Enhanced medical image segmentation through hybrid attention and dynamic convolution networks
Wanhui Chen, Han Wang, Xuan Li, Peishun Liu, Ruichun Tang
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Proceedings Volume 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024); 132740I (2024) https://doi.org/10.1117/12.3037373
Event: Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 2024, Haikou, HI, China
Abstract
Medical image segmentation is crucial in numerous clinical applications. Nevertheless, accurately segmenting anatomical structures in medical images proves challenging. This difficulty arises from factors including the local volume effect, intensity inhomogeneity, and inter-object occlusion. To address these challenges, our paper introduces an innovative method for medical image segmentation. This approach integrates a hybrid attention mechanism(HCA) and dynamic convolutional(DConv) operations, aiming to elevate the overall segmentation performance. The HCA integrates channel attention and spatial attention to capture contextual correlations between channels and spatial locations. DConv, on the other hand, extends traditional convolution operators with learnable offsets to better accommodate geometric transformations, enabling the network to adapt to complex segmentation tasks. Integrating these two mechanisms into an end-to-end medical image segmentation framework enables the network to understand and process image information more comprehensively. Through experiments conducted on datasets consisting of MRI and CT scans, our methodology not only attains performance at the forefront but also surpasses prior techniques notably in segmentation accuracy. These outcomes present a viable means to enhance the precision of medical image segmentation and open up additional prospects for future advancements in the realm of medical imaging.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Wanhui Chen, Han Wang, Xuan Li, Peishun Liu, and Ruichun Tang "Enhanced medical image segmentation through hybrid attention and dynamic convolution networks", Proc. SPIE 13274, Sixteenth International Conference on Digital Image Processing (ICDIP 2024), 132740I (22 October 2024); https://doi.org/10.1117/12.3037373
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KEYWORDS
Image segmentation
Medical imaging
Convolution
Transformers
Image enhancement
Simulation of CCA and DLA aggregates
Feature extraction
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