بدائل البحث:
significant amount » significant impact (توسيع البحث)
progress decrease » progressive decrease (توسيع البحث), problems decreased (توسيع البحث)
amount decreased » point decrease (توسيع البحث), group decreased (توسيع البحث), groups decreased (توسيع البحث)
significant amount » significant impact (توسيع البحث)
progress decrease » progressive decrease (توسيع البحث), problems decreased (توسيع البحث)
amount decreased » point decrease (توسيع البحث), group decreased (توسيع البحث), groups decreased (توسيع البحث)
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141
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142
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143
Pre-RT and post RT D-dimer levels in associated with prognostic significance.
منشور في 2025الموضوعات: -
144
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145
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146
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147
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148
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149
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150
Pan-cancer analyses of ACADM expression and its prognostic significance in the TCGA database.
منشور في 2025الموضوعات: -
151
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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152
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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153
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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154
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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155
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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156
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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157
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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158
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