One of the most common types of cancer among women worldwide is breast cancer. The successes of treatment and survival rates are greatly improved by early and accurate detection. Machine learning techniques for assisting in the diagnosis of breast cancer have recently demonstrated considerable promise. By utilizing an Extreme Learning Machine (ELM) algorithm, which combines the strength of feature fusion and Convolutional Neural Network (CNN) deep features, this research study presents a unique method for the detection of breast cancer.