Example algorithm Group 8


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About

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Image Version:
ea0b2501-c08d-4b54-905e-e07635a21dfd
Last updated:
May 17, 2024, 10:48 a.m.

Interfaces

This algorithm implements all of the following input-output combinations:

Inputs Outputs
1
  • Generic Medical Image (Image)
  • Generic Overlay (Heat Map)
  • TIL Score (Float)
  • Detected Lymphocytes (Multiple points)
  • Breast Cancer Segmentation for TILs (Segmentation)
  • Model Facts

    Summary

    Unet algorithm running in png images of breast cancer tissue

    Mechanism

    This the unet algorithm

    Validation and Performance

    accuracy : 83% F1-score: 0.22 Precision: 0.13 Recall: 0.80

    Uses and Directions

    This algorithm was developed for research purposes only.

    Warnings

    No current warnings

    Common Error Messages

    No specific error messages except for missing data errors. In case of missing data add tissue cells

    Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3