 The proposed technique is a deep learning approach that uses a combination of YOLOX and Efficient Net-slash-CO and VNAXT models to detect and classify breast cancer in mammogram images. It outperforms existing methods by an average of 8% and can improve the detection and diagnosis of breast cancer. This article was authored by Honghut Huynh, on Two Tran and Trung Nia Tran.