بدائل البحث:
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
progress decrease » progressive decrease (توسيع البحث), problems decreased (توسيع البحث)
significant decrease » significant increase (توسيع البحث), significantly increased (توسيع البحث)
progress decrease » progressive decrease (توسيع البحث), problems decreased (توسيع البحث)
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3081
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3082
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3083
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3084
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3085
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3086
CCR2 deficiency elevates <i>C</i>. <i>muridarum</i>-induced Th17-type immune response.
منشور في 2025الموضوعات: -
3087
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3088
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3089
Architecture of Swin-T model.
منشور في 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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3090
Model the experimental results curve.
منشور في 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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3091
Results of comparison experiments.
منشور في 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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3092
Architecture of Swin Transformer Block.
منشور في 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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3093
Disease distribution map of the GZDL-BD.
منشور في 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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3094
Token merging module.
منشور في 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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3095
Comparative results of the ablation experiments.
منشور في 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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3096
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3097
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3098
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3099
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3100