Abstract: 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. The
detected nuclei should be compared with the ground truths identified by a
hematologist to obtain a proper performance evaluation of the nucleus
segmentation method. 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
otsus 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 truths forming process more than six times.