Dual-encoder architecture for metal artifact reduction for kV-cone-beam CT images in head and neck cancer radiotherapy
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-79305-2
Abstract: During a radiotherapy (RT) course, geometrical variations of target volumes, organs at risk, weight changes (loss/gain), tumor regression and/or progression can significantly affect the treatment outcome. Adaptive RT has become the effective methods along with… read more here.
Keywords: dual encoder; cbct; head neck; metal ... See more keywords
Image segmentation network based on enhanced dual encoder
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-15274-4
Abstract: Due to the scalability issues of transformers and the limitations of CNN’s lack of typical inductive bias, their applications in a wider range of fields are somewhat restricted. Therefore, the hybrid network architecture that combines… read more here.
Keywords: dual encoder; local details; image segmentation; enhanced dual ... See more keywords
DEDU-Net: Dual-Encoder-Decoder-U-Net for road extraction from high-resolution remote sensing images
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2024.2343138
Abstract: ABSTRACT The development of the modern urban economy is closely tied to road construction, with roads being one of the most crucial components in urban development. The use of high-resolution remote sensing images to monitor… read more here.
Keywords: dual encoder; encoder decoder; decoder; road ... See more keywords
DPA-HairNet: A Dual Encoder Attention Based Network for Hair Artifact Removal in Dermoscopic Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3585353
Abstract: Hair artifacts in dermoscopic images significantly hinder the accurate diagnosis of melanoma and other skin conditions by obscuring critical lesion details. To address this challenge, we introduce DPA-HairNet, a novel Dual Encoder Attention-Based Network designed… read more here.
Keywords: dual encoder; attention; hair artifact; artifact removal ... See more keywords
Dual Encoder–Decoder Network for Land Cover Segmentation of Remote Sensing Image
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3347595
Abstract: Although the vision transformer-based methods (ViTs) exhibit an excellent performance than convolutional neural networks (CNNs) for image recognition tasks, their pixel-level semantic segmentation ability is limited due to the lack of explicit utilization of local… read more here.
Keywords: dual encoder; segmentation; image; remote sensing ... See more keywords
FDENet: Frequency-Guided Dual-Encoder Network for Building Footprint Extraction From Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3601023
Abstract: Building footprint extraction is a fundamental task in remote sensing image analysis, with wide-ranging applications in smart city development, urban planning, and disaster response. Despite recent advances, existing methods still struggle to simultaneously capture fine-grained… read more here.
Keywords: dual encoder; footprint extraction; building footprint; frequency ... See more keywords
DEMUNet: Dual Encoder Mamba U-Net for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2026 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3631311
Abstract: Accurate classification and recognition of hyperspectral images (HSIs) represent a crucial task in remote sensing image processing. The transformer has emerged as a dominant method for HSI classification due to its powerful global modeling capabilities.… read more here.
Keywords: classification; dual encoder; image; demunet ... See more keywords
Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"
DOI: 10.1109/tcbb.2022.3219375
Abstract: Retrieval Question Answering (ReQA) is an essential mechanism of information sharing which aims to find the answer to a posed question from large-scale candidates. Currently, the most efficient solution is Dual-Encoder which has shown great… read more here.
Keywords: biomedical reqa; post whitening; dual encoder; nli ... See more keywords
Driving Visual Saliency Prediction of Dynamic Night Scenes via a Spatio-Temporal Dual-Encoder Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3323468
Abstract: Driving at night is more challenging and dangerous than driving during the day. Modeling driver eye movement and attention allocation during night driving can help guide unmanned intelligent vehicles and improve safety during similar situations.… read more here.
Keywords: dual encoder; temporal dual; attention; network ... See more keywords
Dual Encoder-Based Dynamic-Channel Graph Convolutional Network With Edge Enhancement for Retinal Vessel Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3151666
Abstract: Retinal vessel segmentation with deep learning technology is a crucial auxiliary method for clinicians to diagnose fundus diseases. However, the deep learning approaches inevitably lose the edge information, which contains spatial features of vessels while… read more here.
Keywords: vessel segmentation; retinal vessel; dual encoder; segmentation ... See more keywords
DCM-Net: dual-encoder CNN-Mamba network with cross-branch fusion for robust medical image segmentation
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Imaging"
DOI: 10.1186/s12880-025-01942-4
Abstract: Medical image segmentation is a critical task for the early detection and diagnosis of various conditions, such as skin cancer, polyps, thyroid nodules, and pancreatic tumors. Recently, deep learning architectures have achieved significant success in… read more here.
Keywords: dual encoder; segmentation; medical image; image segmentation ... See more keywords