 The proposed framework has shown promising results in terms of accuracy compared to other soda technologies. It has also demonstrated its ability to improve the performance of existing methods by employing a novel enhancement technique, data augmentation, and deep transfer learning concepts. Furthermore, it has provided a reliable solution for automatic breast cancer detection and classification. This article was authored by Kiran Jabeen, Mohamed Atit Khan, Jamal Balili, and others.