Employing Atrous Pyramid Convolutional Deep Learning Approach for Detection to Diagnose Breast Cancer Tumors

Table 2

The information available in the MIAS dataset.

#1	#2	#3	#4	#5	#6	#7
MIAS database reference number	Character of background tissue: F, fatty; G, fatty-glandular; D, dense-glandular	Class of abnormality present: CALC, calcification; CIRC well-defined/circumscribed masses; SPIC, spiculated masses; MISC, other, ill-defined masses; ARCH, architectural distortion; ASYM, asymmetry; NORM, normal	Severity of abnormality; B, benign; M, malignant	x, y image coordinates of center of abnormality	x, y image coordinates of center of abnormality	Approximate radius (in pixels) of a circle enclosing the abnormality