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EMFF-Net: Edge-Enhancement Multi-Scale Feature Fusion Network
Published 2025-01-01“…However, variations in polyp size and shape, texture inconsistencies, and boundary ambiguities often pose significant challenges for polyp segmentation. To address these issues, we propose a multi-scale feature fusion network based on edge enhancement. …”
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523
Automated Recognition and Measurement of Corrugated Pipes for Precast Box Girder Based on RGB-D Camera and Deep Learning
Published 2025-04-01“…Firstly, an optimal registration scheme is selected to generate complete point cloud data of pipes from segmented data captured by an RGB-D camera. Next, semantic segmentation is applied to extract the characteristic features of the pipes. …”
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LRA-UNet: A Lightweight Residual Attention Network for SAR Marine Oil Spill Detection
Published 2025-06-01“…However, SAR images of marine oil spills exhibit challenges of weak boundaries, confusion with look-alike phenomena, and the difficulty of detecting small-scale targets. To address these issues, we propose LRA-UNet, a Lightweight Residual Attention UNet for semantic segmentation in SAR images. …”
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Real-Time ConvNext-Based U-Net with Feature Infusion for Egg Microcrack Detection
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AI-enhanced infrared thermography for reliable detection and spatial mapping of temperature patterns in calf eyes and muzzles
Published 2025-07-01“…Furthermore, the interpretability of eye and muzzle temperature measurements can vary depending on which subregions are analyzed, as areas with richer vascularization tend to display more representative temperature characteristics. To address these issues, the present study applied AI-based segmentation to infrared thermography and focused on the analysis of high-temperature, vascularized subregions within the eyes and muzzles of calves. …”
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Enhancing lung cancer detection through integrated deep learning and transformer models
Published 2025-05-01“…However, the existing works encounter several limitations including reliance on large annotated data, overfitting, high computation complexity, and interpretability. Third, the issue of the stability of these models’ performance when applied to actual clinical datasets is still an open question; this is an even bigger issue that will greatly reduce the actual utilization of these models in clinical practice. …”
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Deep learning based agricultural pest monitoring and classification
Published 2025-03-01“…Autoencoder is utilized to address data imbalance issue by generating augmented images. RedGreenBlue colour code and object detection techniques are employed to localize and segment pests from the field images. …”
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Utilizing weak graph for edge consolidation-based efficient enhancement of network robustness
Published 2025-05-01“…Consequently, a substantial amount of extra safeguarded edges are incorporated. To address this issue, we propose a novel concept called K-cut-segmentation that has never been used in any previous work. …”
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Large-Scale Apple Orchard Identification from Multi-Temporal Sentinel-2 Imagery
Published 2025-06-01“…The results from mapping the Yantai apple orchards indicate that AOCF-SegNet achieved strong segmentation performance, with an overall accuracy of 89.34%. …”
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Video Refereeing Model of Soccer Match Based on Fuzzy Clustering and Cuckoo Optimization Algorithm
Published 2024-01-01“…However, motion image segmentation presents several challenges, including image blurring due to high-speed motion and the impact of ambient light on image accuracy. …”
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Fluocinolone acetonide 0.2 µg/day intravitreal implant in non-infectious uveitis affecting the posterior segment: EU expert user panel consensus-based clinical recommendations
Published 2024-05-01“…Abstract Background Non-infectious uveitis affecting the posterior segment of the eye (NIU-PS) is an inflammatory disease, which can significantly impair visual acuity if not adequately treated. …”
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Custom Hydroxyapatite‐Coated Stem Collar With Extracortical Plate Provides Excellent Long‐Term Results Against Aseptic Loosening in Revision, Including Short‐Segment, Endoprostheti...
Published 2025-06-01“…ABSTRACT Background Aseptic loosening from endoprosthetic reconstructions following bone tumour resection is a major issue, especially in the revision/multiple revisions settings. …”
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A retrospective multicenter study comparing the punctures to B2 and B3 in endoscopic ultrasound–guided hepaticogastrostomy
Published 2023-04-01“…Abstract Objectives In recent years, endoscopic ultrasound–guided hepaticogastrostomy (EUS–HGS) has been performed as an important salvage option for failed endoscopic retrograde cholangiopancreatography for biliary drainage. However, technical issues, such as puncture site (bile duct of segment 3 [B3] or bile duct of segment 2 [B2]), dilation method, stent selection, and procedural safety, need to be resolved for the optimization of EUS–HGS. …”
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A vision model for automated frozen tuna processing
Published 2025-01-01“…Abstract Accurate and rapid segmentation of key parts of frozen tuna, along with precise pose estimation, is crucial for automated processing. …”
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An improved DeepLabv3 + railway track extraction algorithm based on densely connected and attention mechanisms
Published 2025-01-01“…Abstract The railway track extraction using unmanned aerial vehicle (UAV) aerial images suffers from issues such as low extraction accuracy and high time consumption. …”
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