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Aircraft segmentation in remote sensing images based on multi-scale residual U-Net with attention
Aircraft segmentation in remote sensing images (RSIs) is an important but challenging problem for both civil and military applications. U-Net and its...
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OT-net: a reusable neural optimal transport solver
With the widespread application of optimal transport (OT), its calculation becomes essential, and various algorithms have emerged. However, the...
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Segmentation of ovarian cyst using improved U-NET and hybrid deep learning model
The female reproductive system relies on the ovaries to produce eggs, but ovarian cysts can lead to complications such as torsion, infertility, and...
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Improved U-Net based on contour attention for efficient segmentation of skin lesion
In the field of skin disease diagnosis, the segmentation of lesions is a crucial step in auxiliary diagnosis. The U-Net network has achieved many...
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Introduction to .NET MAUI
In this chapter, you will gain an understanding of what exactly .NET MAUI is, how it differs from other frameworks, and what it offers you as a...
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Nuclei-Net: a multi-stage fusion model for nuclei segmentation in microscopy images
In this study, we proposed Nuclei-Net: A multi-stage fusion model for segmenting nuclei in microscopy images. Our proposed model works in two stages....
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Hierarchical pose net: spatial hierarchical body tree driven multi-person pose estimation
In this paper, we explore multi-level semantic information of human body structure and propose a paradigm for bottom-up multi-person pose estimation....
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WHO-YOLO NET: soil prediction and classification based on YOLOV3 with whale optimization
Soil prediction techniques help to determine whether a particular crop will grow in a given area. The use of deep learning algorithms with complex...
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ES-Net: Unet-based model for the semantic segmentation of Iris
The segmentation of the iris is crucial and holds great importance within the medical image recognition area. Researchers have introduced many...
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MPF-Net: multi-projection filtering network for few-shot object detection
Deep learning-based object detection has made tremendous progress in the field of intelligent vision systems. However, one of its major complaints is...
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Fusing steering kernel guided filtering with U-NET ConvLSTM for elevated video quality enhancement
Video quality enhancement is a fundamental task in video processing, aiming to improve the visual quality and restore details in degraded video...
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Differential Evaluation Multi-scale U-NET (DEMSU-NET) Architecture for Classification of Lung Diseases from X-Ray Images
Worldwide, lung diseases are a common occurrence. It consists of pneumonia, asthma, TB, fibrosis, Chronic Obstructive Pulmonary Disease (COPD), and...
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Wall-Cor Net: wall color replacement via Clifford chance-based deep generative adversarial network
Color design for interior circumstance is a challenging area due to the numerous aspects that must be matched. Although learning from images is a...
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DR-Net: Diabetic Retinopathy detection with fusion multi-lesion segmentation and classification
Diabetic Retinopathy (DR) is one of the most common microvascular complications of diabetes mellitus and is a major cause of blurred vision, vision...
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MSAMS-Net: accurate lung lesion segmentation from COVID-19 CT images
The coronavirus disease 2019 (COVID-19) has emerged as a global pandemic, inflicting significant harm on the health of humans. A crucial objective in...
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DFE-Net: detail feature extraction network for small object detection
The universal object detector has the problem of low detection accuracy and high missed detection rate when detecting small objects. In this paper,...
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Towards improved U-Net for efficient skin lesion segmentation
Skin cancer is a highly lethal disease, and detecting it at an early stage is critical. Skin lesion segmentation is a complex process involving...
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PSDD-Net: A Dual-Domain Framework for Pancreatic Cancer Image Segmentation with Multi-scale Local-Dense Net
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers in the word. However, the diverse microenvironment, unclear boundaries,...
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DRI-Net: a model for insulator defect detection on transmission lines in rainy backgrounds
Transmission line insulators often operate in challenging weather conditions, particularly on rainy days. Continuous exposure to humidity and rain...
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Net load forecasting using different aggregation levels
In the electricity grid, constantly balancing the supply and demand is critical for the network’s stability and any expected deviations require...
