TABLE I. Experimental Setup for Training our Dual Deep Learning Architecture.

Data Set	# of Patients	# of Images	# of Cells	Cross Validation	Training (#Images/Fold) (#Patients/fold)	Testing (#Images/Fold) (#Patients/Fold)
Polygon Set	33	165	34,226	11 - Fold	150 images from 30 patients	15 images from 3 patients
Point Set	160	800	162,443	Train all images in polygon set	165 images from 33 patients	800 images from 160 patients