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. 2019 May 22;2019:5982834. doi: 10.1155/2019/5982834

Table 1.

Summary of the annotations available for each image in the CBIS-DDSM dataset. As all these annotations are derived from the image, none of these features were imputed into our classifier.

Patient_id Anonymous alphanumeric code
Breast_density 4 (153), 2 (757), 3 (449), 1 (337)
Left or right breast Left (817), right (879)
Image view CC(784), MLO(912)
Abnormality id 1 (1570), 2 (84), 4 (10), 3 (28), 5 (2), 6 (2) (integer index used to label multiple lesions within the same image)
Abnormality type Mass (1696)
Mass shape Irregular (526), round (169), lobulated (399), oval (423), architectural_distortion(158), asymmetric_breast_tissue(26), lymph_node(45)
Mass margins Focal_asymmetric_density (27), n/a (4), spiculated (407), circumscribed (455), ill_defined (472), obscured (308), microlobulated (143), n/a (60)
Assessment 5 (374), 4 (702), 0 (162), 3 (364), 2 (91), 1 (3)
Pathology Malignant (784), benign (771), benign_without_callback (141)
Subtlety 5 (687), 4 (453), 2 (141), 3 (358), 1 (55), 0 (2)