Update README.md

README.md

@@ -10,4 +10,6 @@ This model achieved the best (to my knowledge and by the time of the paper) AUC
 
 This model achieves an AUC of 0.8511, considering two-views (CC and MLO) of each side of each exam. 
 
-To evaluate the performance of classifiers, we grouped the Bi-RADS categories into two broader classes: “Normal” for views classified as Bi-RADS 1 and 2, and “Abnormal” for views classified as Bi-RADS 3, 4, and 5.
+To evaluate the performance of classifiers, we grouped the Bi-RADS categories into two broader classes: “Normal” for views classified as Bi-RADS 1 and 2, and “Abnormal” for views classified as Bi-RADS 3, 4, and 5.
+
+Please find code and inference instructions here: [https://github.com/dpetrini/multiple-view](https://github.com/dpetrini/multiple-view)