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Showing 1 - 10 results of 10 for search '(( library based object detection algorithm ) OR ( binary game based optimization algorithm ))', query time: 1.10s Refine Results
  1. 1
    Schematic representation of dataset development and annotation and model development and evaluation.

    Schematic representation of dataset development and annotation and model development and evaluation. by Allan J. Kember (5618159)

    Published 2023
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  2. 2
    SpatialKNifeY analysis landscape.

    SpatialKNifeY analysis landscape. by Shunsuke A. Sakai (13789939)

    Published 2025
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  3. 3
    Table_1_Artificial Intelligence-Aid Colonoscopy Vs. Conventional Colonoscopy for Polyp and Adenoma Detection: A Systematic Review of 7 Discordant Meta-Analyses.DOCX

    Table_1_Artificial Intelligence-Aid Colonoscopy Vs. Conventional Colonoscopy for Polyp and Adenoma Detection: A Systematic Review of 7 Discordant Meta-Analyses.DOCX by Hui Pan (149683)

    Published 2022
    “…<p>Objectives: Multiple meta-analyses which investigated the comparative efficacy and safety of artificial intelligence (AI)-aid colonoscopy (AIC) vs. conventional colonoscopy (CC) in the detection of polyp and adenoma have been published. …”
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  4. 4
    Image 2_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif

    Image 2_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif by Zheng Bi (17701688)

    Published 2025
    “…Objective<p>To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic retinopathy (DR).…”
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  5. 5
    Image 4_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif

    Image 4_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif by Zheng Bi (17701688)

    Published 2025
    “…Objective<p>To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic retinopathy (DR).…”
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  6. 6
    Image 3_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif

    Image 3_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif by Zheng Bi (17701688)

    Published 2025
    “…Objective<p>To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic retinopathy (DR).…”
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  7. 7
    Image 1_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif

    Image 1_Deep learning-based optical coherence tomography and retinal images for detection of diabetic retinopathy: a systematic and meta analysis.tif by Zheng Bi (17701688)

    Published 2025
    “…Objective<p>To systematically review and meta-analyze the effectiveness of deep learning algorithms applied to optical coherence tomography (OCT) and retinal images for the detection of diabetic retinopathy (DR).…”
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  8. 8
    Top 5 correlated features based on reuse.

    Top 5 correlated features based on reuse. by Matthew Yit Hang Yeow (20721206)

    Published 2025
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  9. 9
    primary mouse RT single cell RNA-seq

    primary mouse RT single cell RNA-seq by Mamy ANDRIANTERANAGNA (12913196)

    Published 2023
    “…The clustering was conducted using the graph-based modularity optimization Louvain algorithm implemented in Seurat v3. …”
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  10. 10
    primary ATRT single cell RNA-seq

    primary ATRT single cell RNA-seq by Mamy ANDRIANTERANAGNA (12913196)

    Published 2023
    “…</p> <p>scRNA-seq data integration was performed using the CCA-based implemented in Seurat version 3. The clustering was conducted using the graph-based modularity optimization Louvain algorithm implemented in Seurat v3. …”
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