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Applied Computing and Geosciences, 2023 Inland water bodies play a vital role at all scales in the terrestrial water balance and Earth’s climate variability. Thus, an inventory of inland waters is crucially important for hydrologic and ecological studies and management. Therefore, the main aim
Ali Ghaznavi +3 more
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Self-attention U-Net (SAU-Net): An attention-driven U-Net framework for precise brain tumor segmentation using multimodal magnetic resonance imaging [PDF]
Digital HealthObjectives The primary goal is to address the challenges in brain tumor segmentation (BraTS), such as limited accuracy and high computational costs, by developing a more precise and efficient segmentation technique.
Md. Alamin Talukder +2 more
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Attention-based U-Net for image demoiréing [PDF]
Machine Graphics & Vision, 2022 Image demoiréing is a particular example of a picture restoration problem. Moiré is an interference pattern generated by overlaying similar but slightly offset templates.
Tomasz M. Lehmann
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Radiologist-Validated Automatic Lumbar T1-Weighted Spinal MRI Segmentation Tool via an Attention U-Net Algorithm [PDF]
DiagnosticsBackground/Objectives: Spinal MRI segmentation has become increasingly important with the prevalence of disc herniation and vertebral injuries. Artificial intelligence can help orthopedic surgeons and radiologists automate the process of segmentation ...
Aryan Kalluvila +4 more
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Neighbored-attention U-net (NAU-net) for diabetic retinopathy image segmentation [PDF]
Frontiers in Medicine, 2023 BackgroundDiabetic retinopathy-related (DR-related) diseases are posing an increasing threat to eye health as the number of patients with diabetes mellitus that are young increases significantly.
Tingting Zhao +4 more
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Multiscale Attention U-Net for Skin Lesion Segmentation
IEEE Access, 2022 Skin cancer is the most common type of cancer in the world and it is more treatable if diagnosed early. The diagnosis process usually starts with segmenting the skin lesion area and planning a follow-up treatment by the dermatologists.
Mohammad D. Alahmadi
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An attention base U-net for parotid tumor autosegmentation
Frontiers in Oncology, 2022 A parotid neoplasm is an uncommon condition that only accounts for less than 3% of all head and neck cancers, and they make up less than 0.3% of all new cancers diagnosed annually.
Xianwu Xia +11 more
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Contrast-Free Myocardial Infarction Segmentation with Attention U-Net [PDF]
DiagnosticsBackground: Cardiovascular magnetic resonance (CMR) is the clinical gold standard for assessing cardiac anatomy and function. However, the manual segmentation of cardiac structures and myocardial infarction (MI) is time-consuming, prone to inter-observer
Khaled Ali Deeb +7 more
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Training ESRGAN with multi-scale attention U-Net discriminator [PDF]
Scientific ReportsIn this paper, we propose MSA-ESRGAN, a novel super-resolution model designed to enhance the perceptual quality of images. The key innovation of our approach lies in the integration of a multi-scale attention U-Net discriminator, which allows for more ...
Quan Chen, Hao Li, Gehao Lu
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Technologies, 2022 Detecting and localizing buildings is of primary importance in urban planning tasks. Automating the building extraction process, however, has become attractive given the dominance of Convolutional Neural Networks (CNNs) in image classification tasks.
Anastasios Temenos +3 more
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