Table 1.

Number of training and testing images from the full-field digital mammography (FFDM) and digital database of screening mammography (DDSM) datasets used for each experiment. The Negative vs Recalled-Benign scenarios (Negative vs Recall-Benign) have more data and thus are listed separately. For simplicity, all other scenarios (Malignant vs Negative+Recalled-Benign, Malignant vs Negative, Malignant vs Recalled-Benign, Malignant vs Negative vs Recalled-Benign, Recalled-Benign vs Malignant+Negative) are listed under “Others”. Both the total number of images in the scenario as well as the images per category are displayed.

Number of Training and Testing Images Used
Dataset / Experiment	Scenario	Training		Testing
		Total	Per Category	Total	Per Category
FFDM Only (Train & Test)	Negative vs Recalled-Benign	3040	1520	160	80
	Others	1734	867	100	50
DDSM Only (Train & Test)	Negative vs Recalled-Benign	5282	2641	278	139
	Others	3294	1647	172	86
FFDM+DDSM (Train & Test)	Negative vs Recalled-Benign	8322	4161	438	219
	Others	5028	2514	272	136
Pre-train on ImageNet and DDSM, test on FFDM	Negative vs Recalled-Benign	3040	1520	160	80
	Others	1734	867	100	50