Dense and shuffle attention U‐Net for automatic skin lesion segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22774
Abstract: The segmentation of skin lesions is a critical step in the detection of skin cancer. However, it is also difficult because of unclear boundaries, various size and shape of skin lesions, the appearance of interference… read more here.
Keywords: dense shuffle; skin; segmentation; shuffle attention ... See more keywords
Thorax Disease Classification Based on Pyramidal Convolution Shuffle Attention Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3198958
Abstract: Chest X-ray is one of the most common radiological examinations for screening thoracic diseases. Despite the existing methods based on convolution neural network that have achieved remarkable progress in thoracic disease classification from chest X-ray… read more here.
Keywords: disease classification; pyramidal convolution; shuffle attention; convolution ... See more keywords
SAU-GAN: A Shuffle Attention U-Net Generative Adversarial Network for GPR Inversion
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3557521
Abstract: Ground-penetrating radar (GPR) is widely used in geotechnical engineering investigations, construction quality assessment, and geological disaster surveys due to its high resolution, accuracy, and nondestructive testing capabilities. However, the accuracy of GPR inversion imaging is… read more here.
Keywords: shuffle attention; sau gan; gpr inversion; network ... See more keywords
High-accuracy detection method for miner action recognition with shuffle attention SlowFast networks
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.34.1.013012
Abstract: Abstract. One of the principal causes of mining accidents is the unsafe conduct of miners. The monitoring of miners’ unsafe actions and the timely implementation of corrective measures can effectively prevent a considerable number of… read more here.
Keywords: shuffle attention; slowfast networks; attention; action recognition ... See more keywords