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Figure 1 shows some representative slide images from the validation data set.
The validation data set contained 40 ER+ invasive breast cancer patients from the Cancer Institute of New Jersey (CINJ).
The images from the subject with deuteranopia were used in the validation data set.
The software and validation data are available to download from https://github.com/dimostsag/gessa.
Figure 2: Example results for the ConvNetHUP classifier on the CINJ validation data cohort.
Such in-situ validation data for retrieval calibration48,49,50 can only be provided by disdrometers8,30,51,52.
Validation data.
Additional file 1: Validation data.
Predictive accuracy was assessed on independent validation data sets.
It will serve as a distributed, trustless store of biometrics validation data.
Exposure validation data.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com