Search alternatives:
late detection » lane detection (Expand Search), case detection (Expand Search), life detection (Expand Search)
multiple late » multiple data (Expand Search), multiple age (Expand Search), multiple last (Expand Search)
Showing 1 - 16 results of 16 for search 'multiple late detection algorithm', query time: 0.19s Refine Results
  1. 1
    Architecture for Tumor detection in esophageal Endoscopy images.

    Architecture for Tumor detection in esophageal Endoscopy images. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    Prediction results of a trained model for detecting the location of a tumor.

    Prediction results of a trained model for detecting the location of a tumor. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    Precision–recall curves obtained using the detection model for internal data.

    Precision–recall curves obtained using the detection model for internal data. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 4
    Prediction results of a trained model for detecting the location of a tumor.

    Prediction results of a trained model for detecting the location of a tumor. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    TP predictions from a trained model for tumor location detection.

    TP predictions from a trained model for tumor location detection. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    Precision–recall curves obtained using the detection model for external data.

    Precision–recall curves obtained using the detection model for external data. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    TP predictions from a trained model for tumor location detection.

    TP predictions from a trained model for tumor location detection. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Performance evaluation metrics for detection models based on confidence thresholds from external data.

    Performance evaluation metrics for detection models based on confidence thresholds from external data. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 9
    Performance evaluation metrics for detection models based on confidence thresholds from internal data.

    Performance evaluation metrics for detection models based on confidence thresholds from internal data. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    Labeling data for regions of interest.

    Labeling data for regions of interest. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 11
    Number of images collected for WLI/NBI data.

    Number of images collected for WLI/NBI data. by Young Seo Baik (21001443)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  12. 12
    1-D marginal posterior distributions to Bernalillo (left column), Santa Fe (middle column), and Valencia (right column).

    1-D marginal posterior distributions to Bernalillo (left column), Santa Fe (middle column), and Valencia (right column). by Cosmin Safta (11105442)

    Published 2025
    Save to List
    Saved in:
  13. 13
    Table 3_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx

    Table 3_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
    Save to List
    Saved in:
  14. 14
    Table 1_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.docx

    Table 1_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.docx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
    Save to List
    Saved in:
  15. 15
    Table 2_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx

    Table 2_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
    Save to List
    Saved in:
  16. 16
    Table 4_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx

    Table 4_Detection of reproducible liver cancer specific ligand-receptor signaling in blood.xlsx by Aram Safrastyan (13386663)

    Published 2025
    “…To test the feasibility of this approach, we used the BulkSignalR algorithm across 295 cell-free RNA samples and compared the LRI profiles across multiple cancer types and healthy donors. …”
    Save to List
    Saved in:

Search Tools: