Example algorithm Group 8


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About

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Image Version:
ea0b2501-c08d-4b54-905e-e07635a21dfd — May 17, 2024

Summary

Unet algorithm running in png images of breast cancer tissue

Mechanism

This the unet algorithm


Interfaces

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

Inputs Outputs
1
    Generic Medical Image
    Generic Overlay
    TIL Score
    Detected Lymphocytes
    Breast Cancer Segmentation for TILs

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