Involvement of Machine Learning for Breast Cancer Image Classification: A Survey

Table 1

Available breast image database for biomedical investigation.

Database	Number of images	Database size (GB)	Image capture technique	Image type	Total patients
MIAS	322	2.3	Mammogram		161
DDSM			Mammogram		2620
CBIS-DDSm	4067	70.5	MG	DICOM	237
ISPY1	386,528	76.2	MR, SEG		237
Breast-MRI-NACT-Pilot	99,058	19.5	MRI		64
QIN-Breast	100835	11.286	PET/CT, MR	DICOM	67
Mouse-Mammary	23487	8.6	MRI	DICOM	32
TCGA-BRCA	230167	88.1	MR, MG	DICOM	139
QIN Breast DCE-MRI	76328	15.8	CT	DICOM	10
BREAST-DIAGNOSIS	105050	60.8	MRI/PET/CT	DICOM	88
RIDER Breast MRI	1500	.401	MR	DICOM	5
BCDR			Mammogram		1734
TCGA-BRCA		53.92 (TB)	Histopathology		1098
BreakHis	7909		Histopathology		82
Inbreast	419		Mammogram		115