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  2. Application of EfficientNet‐B0 and GRU‐based deep learning on classifying the colposcopy diagnosis of precancerous cervical lesions
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  3. Dual-attention EfficientNet based on multi-view feature fusion for cervical squamous intraepithelial lesions diagnosis
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  4. Aktuelle Aspekte zur künstlichen Intelligenz in der gynäkologischen Diagnostik
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  6. Diagnosis of Cervical Cancer and Pre-Cancerous Lesions by Artificial Intelligence: A Systematic Review
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  7. Методология и эффективность скрининга рака шейки матки в мировой практике
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  8. Development of a prognostic prediction support system for cervical intraepithelial neoplasia using artificial intelligence-based diagnosis
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  9. Application of artificial intelligence-assisted image diagnosis software based on volume data reconstruction technique in medical imaging practice teaching
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  10. Diagnostic Efficacy of Enhanced Visual Assessment [Visual Check] for Triaging Cervical Cancer Screen Positive Women
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  11. Application options of the artificial intelligence in colposcopy within screening programs
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  12. Joint Diagnostic Method of Tumor Tissue Based on Hyperspectral Spectral-Spatial Transfer Features
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