KPIs: Sensitivity, Specificity, AUC, pAUC measurement and graphs

AiAiHealthcare / ProjectAiAi

AiAi.care project is teaching computers to "see" chest X-rays and interpret them how a human Radiologist would. We are using 700,000 Chest X-Rays + Deep Learning to build an FDA 💊 approved, open-source screening tool for Tuberculosis and Lung Cancer. After an MRMC clinical trial, AiAi CAD will be distributed for free to emerging nations, charitable hospitals, and organizations like WHO 🌏 We will also release our pretrained models and weights as Medical Imagenet.

https://AiAi.care/

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KPIs: Sensitivity, Specificity, AUC, pAUC measurement and graphs #14

Open FuriouslyCurious opened 7 years ago

shubhamjain0594 commented 7 years ago

What is the plan on this? How about using pastalog?

FuriouslyCurious commented 6 years ago

Hi @shubhamjain0594, we just secured compute time on a DGX-1 box and are gearing up to do final DL training on in December.

Right now we are using Matplotlib plots, but your Pastalog UI looks amazing.