  The nucleus of white blood cells (WBCs) plays a significant role in their
detection and classification. Appropriate feature extraction of the nucleus is
necessary to fit a suitable artificial intelligence model to classify WBCs.
Therefore, designing a method is needed to segment the nucleus accurately.
There should be a comparison between the ground truths distinguished by a
hematologist and the detected nuclei to evaluate the performance of the nucleus
segmentation method accurately. It is a time-consuming and tedious task for
experts to establish the ground truth manually. This paper presents an
intelligent open-source software called Easy-GT to create the ground truth of
WBCs' nucleus faster and easier. This software first detects the nucleus by
employing a new Otsu's thresholding-based method with a dice similarity
coefficient (DSC) of 95.42 %; the hematologist can then create a more accurate
ground truth, using the designed buttons to modify the threshold value. This
software can speed up ground truth's forming process more than six times.
