Test
![Logo for Test](https://rumc-gcorg-p-public.s3.amazonaws.com/logos/challenge/754/logo.png)
About
Contact email:
Image Version:
a8180554-9a8c-4771-9970-fc214e9acf11
Last updated:
June 20, 2024, 5:15 p.m.
Inputs:
- Prostatectomy tissue whole slide image (Whole slide image (multi-resolution) of prostate tissue following a prostatectomy surgery)
- Prostatectomy Tissue Mask (A binary mask to indicate prostate tissue (0=background, 1=prostate))
Outputs:
- Overall Survival Years (Prediction of the patients’ overall survival in years)
Challenge Performance
Date | Challenge | Phase | Rank |
---|---|---|---|
July 11, 2024 | LEOPARD | Sanity check | 1 |
Model Facts
Summary
This algorithm offers a structured and efficient framework for analyzing tissue regions and predicting patient prognosis, leveraging advanced techniques in image analysis and machine learning.
Mechanism
Left empty by the Algorithm Editors
Validation and Performance
-
Uses and Directions
This algorithm was developed for research purposes only.
Warnings
Left empty by the Algorithm Editors
Common Error Messages
Left empty by the Algorithm Editors
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