An enhanced visual state space model for myocardial pathology segmentation in multi‐sequence cardiac MRI
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DOI: 10.1002/mp.17761
Abstract: Myocardial pathology (scar and edema) segmentation plays a crucial role in the diagnosis, treatment, and prognosis of myocardial infarction (MI). However, the current mainstream models for myocardial pathology segmentation have the following limitations when faced… read more here.
Keywords: pathology segmentation; enhanced visual; myocardial pathology; visual state ... See more keywords
Enhanced Edge Feature Fusion and Visual State Space for Precise Detection of Switch Tip Close Fitting
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DOI: 10.1109/access.2025.3566393
Abstract: Switches are critical components in railway transportation, and the detection of close fitting between switch tips is essential for ensuring operational safety. Current methods primarily rely on manual on-site measurements, which are time-consuming and prone… read more here.
Keywords: detection; close fitting; visual state; state space ... See more keywords
MAAN: Power Object Detection Network via Visual State Space Model and Area Attention
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DOI: 10.1109/access.2025.3640435
Abstract: Power inspection via unmanned aerial vehicles (UAVs) is critical for grid reliability but is hindered by complex challenges: multi-scale targets, frequent occlusions, and cluttered backgrounds. While deep learning offers solutions, existing models struggle to balance… read more here.
Keywords: detection; attention; visual state; model ... See more keywords
GLVMamba: A Global–Local Visual State-Space Model for Remote Sensing Image Segmentation
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DOI: 10.1109/tgrs.2025.3572127
Abstract: Semantic segmentation of remote sensing images (RSIs) has significant advances with the adoption of deep neural networks, taking the advantages of convolutional neural networks (CNNs) in local feature extraction with transformers in global information modeling.… read more here.
Keywords: segmentation; global local; visual state; remote sensing ... See more keywords