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   Articles with "scale feature" as a keyword



Multi‐Organ Segmentation Network for Female Pelvic MR Images Based on Hierarchical Decoupled Fusion and Multi‐Scale Feature Processing

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70122

Abstract: Accurate segmentation of the female pelvic structures is crucial for diagnosing and treating female pelvic disorders. However, the complex and variable shapes of the pelvic organs, along with their blurred boundary features, present significant challenges.… read more here.

Keywords: scale feature; segmentation; multi scale; pelvic organs ... See more keywords

Mfgnn: Multi‐Scale Feature‐Attentive Graph Neural Networks for Molecular Property Prediction

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recommendations! Published in 2025 at "Journal of Computational Chemistry"

DOI: 10.1002/jcc.70011

Abstract: In the realm of artificial intelligence‐driven drug discovery (AIDD), accurately predicting the influence of molecular structures on their properties is a critical research focus. While deep learning models based on graph neural networks (GNNs) have… read more here.

Keywords: chemistry; scale feature; graph neural; multi scale ... See more keywords

Multi-scale feature fusion of deep convolutional neural networks on cancerous tumor detection and classification using biomedical images

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-024-84949-1

Abstract: In the present scenario, cancerous tumours are common in humans due to major changes in nearby environments. Skin cancer is a considerable disease detected among people. This cancer is the uncontrolled evolution of atypical skin… read more here.

Keywords: classification; scale feature; mffdcnn ctdc; multi scale ... See more keywords

FACTF-WMTimesNet: Short-term wind power forecasting based on signal reconstruction and 2D multi-scale feature extraction

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recommendations! Published in 2025 at "Journal of Renewable and Sustainable Energy"

DOI: 10.1063/5.0254859

Abstract: Accurate short-term wind power forecasting is crucial for the secure integration of wind energy into power systems. However, the volatility, non-stationarity, and complex multi-periodicity of wind power time series present significant challenges for forecasting. To… read more here.

Keywords: scale feature; wind power; multi scale; factf wmtimesnet ... See more keywords
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The impact of seasonality on multi-scale feature extraction techniques

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recommendations! Published in 2020 at "International Journal of Digital Earth"

DOI: 10.1080/17538947.2018.1556354

Abstract: ABSTRACT A key component in constructing a broad-scale, gridded population dataset is fine resolution geospatial data accurately depicting the extent of human activity. Analogous datasets are often developed using a wide range of methods and… read more here.

Keywords: scale feature; resolution; feature; settlement ... See more keywords

CPFS-YOLO: a steel surface defect detection method based on cross-stage and multi-scale feature fusion

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recommendations! Published in 2025 at "Measurement Science and Technology"

DOI: 10.1088/1361-6501/ae1854

Abstract: Steel surface defect detection is a key link to ensure the quality of industrial products and production safety. However, the traditional detection method has some problems, such as low detection efficiency, high false detection rate… read more here.

Keywords: detection; cpfs yolo; scale feature; steel ... See more keywords
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Gradient and Multi Scale Feature Inspired Deep Blind Gaussian Denoiser

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3162608

Abstract: In this paper, a novel deep blind Gaussian denoising network is proposed utilizing the concepts of gradient information, multi-scale feature information and feature denoising for removing additive white Gaussian noise (AWGN) from images. The proposed… read more here.

Keywords: scale feature; multi scale; feature; deep blind ... See more keywords

MSDNet: A Multi-Scale Feature Representation Network Model for Tunnel Bolt Detection

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recommendations! Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3513697

Abstract: Bolts are critical components of tunnel linings, essential for ensuring safe tunnel operation. Due to their susceptibility to corrosion and detachment, it is vital to closely monitor them during maintenance. However, identifying a large number… read more here.

Keywords: detection; scale feature; multi scale; tunnel bolt ... See more keywords

Small Target Defect Detection on Steel Surface Based on Multi-Scale Feature Fusion

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3618225

Abstract: Aiming at the problem of insufficient detection accuracy for small target defects on steel surfaces, which often leads to missed detections and false alarms, this paper improves upon the YOLOv8n algorithm to propose a more… read more here.

Keywords: detection; scale feature; small target; multi scale ... See more keywords

Change Detection in SAR Images Based on Improved Non-Subsampled Shearlet Transform and Multi-Scale Feature Fusion CNN

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recommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3126839

Abstract: Traditional methods for change detection in synthetic aperture radar images have difficulty in obtaining results from the generated differential image (DI) owing to speckle noise. In recent years, many deep learning-based methods have emerged because… read more here.

Keywords: change detection; scale feature; multi scale; detection ... See more keywords

Pansharpening Using Unsupervised Generative Adversarial Networks With Recursive Mixed-Scale Feature Fusion

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recommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3259014

Abstract: Panchromatic sharpening (pansharpening) is an important technology for improving the spatial resolution of multispectral (MS) images. The majority of the models are implemented at the reduced resolution, leading to unfavorable results at the full resolution.… read more here.

Keywords: information; fusion; feature fusion; mixed scale ... See more keywords