According to current cancer data from India, 30% of cases had breast cancer, and this percentage is projected to climb shortly. According to the statistics, individual female is identified every two minutes and individual dies every nine minutes. When cancer patients are diagnosed early, their lives are saved. Microcalcifications are recognized as a significant signal for diagnosing early-stage breast cancer. Numerous scientific investigations have out to battle this sickness, for different types of machine been carried learning approaches widely used. Particle Swarm Optimization (PSO) has been identified as one of various effective and promising ways of detecting breast cancer and supporting pharmaceutical experts in giving timely and suitable treatment.