3 ms·
from the paper: https://pubs.rsna.org/doi/10.1148/radiol.2019182622 https://pubs.rsna.org/doi/10.1148/radiol.2019182622 AUC is 0.78 Sensitivity-Specificity Gr
by TuringNYC 7y ago
from the paper: https://pubs.rsna.org/doi/10.1148/radiol.2019182622 https://pubs.rsna.org/doi/10.1148/radiol.2019182622
AUC is 0.78
Sensitivity-Specificity Graph is here:
http://images.rsna.org/index.html?doi=10.1148/radiol.2019182622&fig=fig3 http://images.rsna.org/index.html?doi=10.1148/radiol.2019182...
- mdorazio 7y agoThanks for linking. If I'm reading that correctly, it's pretty bad in comparison to an average human radiologist at ~6% false positive rate [1]. There's probably a bias factor in there, however, where humans are hesitant to predict potential cancer due to the cost/time involved in follow-up screening. [1] https://www.ncbi.nlm.nih.gov/pubmed/21643887 https://www.ncbi.nlm.nih.gov/pubmed/21643887