LUNA22-ISMI-Team1
About
Creator:
Contact email:
Version:
5c777058-018f-4722-8c61-2f2270add5ad
Last updated:
June 13, 2022, 4:52 p.m.
Inputs:
- CT Image (Any CT image)
Outputs:
- Lung nodule malignancy risk (Malignancy risk of lung nodule detected in a chest CT ranging between 0 to 1 with 0 being the lowest malignancy risk and 1 being the highest malignancy risk)
- Lung nodule type (The sub-type / texture of a lung nodule detected in a chest CT. Labels follow this mapping: 0: "non-solid", 1: "part-solid", 2: "solid".)
Model Facts
Summary
Left empty by the Algorithm Editors
Mechanism
Left empty by the Algorithm Editors
Validation and Performance
Left empty by the Algorithm Editors
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