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General characteristics and clinical data of the subjects included in the study.
Published 2025Subjects: -
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One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer
Published 2025“…Although numerous studies have presented novel methods to enhance the TENG performance by incorporating functional intermediate layers, complex multistep fabrication processes pose challenges for practical applications. In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
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One-Step Coaxial Electrospinning of PS/BTO@PVDF Core–Shell Nanofibers for Double-Layered TENGs with Ferroelectric-Enhanced Charge Storage Layer
Published 2025“…Although numerous studies have presented novel methods to enhance the TENG performance by incorporating functional intermediate layers, complex multistep fabrication processes pose challenges for practical applications. In this study, polystyrene (PS)/BaTiO<sub>3</sub> (BTO)@polyvinylidene fluoride (PVDF) core–shell nanofibers (NFs) were developed through a one-step coaxial electrospinning process, simplifying fabrication while significantly increasing the energy conversion efficiency of the TENG. …”
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Architecture of Swin-T model.
Published 2024“…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
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Model the experimental results curve.
Published 2024“…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
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Results of comparison experiments.
Published 2024“…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
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Architecture of Swin Transformer Block.
Published 2024“…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”
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Disease distribution map of the GZDL-BD.
Published 2024“…However, traditional methods heavily rely on low-level image analysis, handcrafted features, and classical classifiers, leading to limited effectiveness and poor generalization in complex scenarios. Although significant progress has been made with deep learning methods, challenges persist in handling high-resolution images and diverse disease types. …”