You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository was archived by the owner on Jan 17, 2019. It is now read-only.
My team and I are trying to use DeepMask and SharpMask for semantic segmentation for medical imaging and in the process of writing up a manuscript, we are having trouble articulating the success at 0.7 metric.
Would someone be able to reach out to us to help clarify how this metric works and why it is being used for selection of 'best model'?