Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning

Table 1 Classification of images based on tumor subtypes along with the magnification factors

Classes	Subclasses	Number of patients	Magnification factors				Total
Classes	Subclasses	Number of patients	40×	100×	200×	400×	Total
Benign	Adenosis (class 0)	4	114	113	111	106	444
	Fibroadenoma (class 1)	10	253	260	264	237	1014
	Tubular adenoma (class 2)	3	109	121	108	115	453
	Phyllodes adenoma (class 3)	7	149	150	140	130	569
Malignant	Ductal carcinoma (class 4)	38	864	903	896	788	3451
	Lobular carcinoma (class 5)	5	156	170	163	137	626
	Mucinous carcinoma (class 6)	9	205	222	196	169	792
	Papillary carcinoma (class 7)	6	145	142	135	138	560
Total		82	1995	2081	2013	1820	7909

ISSN: 1471-2342