Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
progress decrease » progressive decrease (Expand Search), problems decreased (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
progress decrease » progressive decrease (Expand Search), problems decreased (Expand Search)
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CCR2 deficiency elevates <i>C</i>. <i>muridarum</i>-induced Th17-type immune response.
Published 2025Subjects: -
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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. …”
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Token merging module.
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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Comparative results of the ablation 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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