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process optimization » model optimization (Expand Search)
robust detection » object detection (Expand Search), point detection (Expand Search), first detection (Expand Search)
basic process » based process (Expand Search), basic protein (Expand Search)
based robust » based probes (Expand Search)
binary basic » binary mask (Expand Search)
lines based » lens based (Expand Search), genes based (Expand Search), lines used (Expand Search)
Showing 1 - 20 results of 52 for search '(( lines based robust detection algorithm ) OR ( binary basic process optimization algorithm ))*', query time: 0.74s Refine Results
  1. 1
    The main workflow of the proposed algorithm.

    The main workflow of the proposed algorithm. by Xin Li (51274)

    Published 2023
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  2. 2
    The detected blocks.

    The detected blocks. by Xin Li (51274)

    Published 2023
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  3. 3
    Evaluation of the diagnostic performance of key genes and expression detection of key genes in MH7A cell lines and LPS-induced MH7A cell lines.

    Evaluation of the diagnostic performance of key genes and expression detection of key genes in MH7A cell lines and LPS-induced MH7A cell lines. by Meili Liu (327309)

    Published 2025
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  4. 4
    Comparative Analysis of Mitosis Detection Method.

    Comparative Analysis of Mitosis Detection Method. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  5. 5
    mAP@0.5 line charts for different models.

    mAP@0.5 line charts for different models. by Meiling Shi (13148944)

    Published 2024
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  6. 6
    Supportive boundary lines and related results.

    Supportive boundary lines and related results. by Xin Li (51274)

    Published 2023
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  7. 7
    Indels characterization algorithm development and benchmark with simulated data and real data.

    Indels characterization algorithm development and benchmark with simulated data and real data. by Marta Sanvicente-García (12306659)

    Published 2023
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  8. 8
    Sensitivity and Specificity Analysis.

    Sensitivity and Specificity Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  9. 9
    CSI, Balanced accuracy, and FMI Analysis.

    CSI, Balanced accuracy, and FMI Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  10. 10
    Architecture of CDL Network.

    Architecture of CDL Network. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  11. 11
    Hyper-parameter tuning of the proposed model.

    Hyper-parameter tuning of the proposed model. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  12. 12
    Accuracy and F-Measure Analysis.

    Accuracy and F-Measure Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  13. 13
    FPR and FNR analysis.

    FPR and FNR analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  14. 14
    Markedness and NLR Analysis.

    Markedness and NLR Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  15. 15
    Accuracy vs loss for varying epochs.

    Accuracy vs loss for varying epochs. by Afnan M. Alhassan (18349378)

    Published 2025
    “…The robust assessment on a benchmark dataset displays the outstanding efficacy of the CDL model, reaching an excellent F1 score of 0.994 and accuracy of 98.8% thus proving its strength for the detection of mitotic figures. …”
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  16. 16
    DET curves of the D-MAD approaches.

    DET curves of the D-MAD approaches. by Roman Kessler (2559916)

    Published 2024
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  17. 17
    ECDFs for distance scores of the open-source FRSs.

    ECDFs for distance scores of the open-source FRSs. by Roman Kessler (2559916)

    Published 2024
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  18. 18
    One variant per line data for precision study.

    One variant per line data for precision study. by Wenshu Li (762627)

    Published 2025
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  19. 19
    One variant per line data for concordance study.

    One variant per line data for concordance study. by Wenshu Li (762627)

    Published 2025
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  20. 20
    ECDFs for similarity scores of the COTS FRSs.

    ECDFs for similarity scores of the COTS FRSs. by Roman Kessler (2559916)

    Published 2024
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