Classification of breast cancer with hybrid feature selection and extraction using machine learning classifiers
Vaishnawi Priyadarshni, Sanjay Kumar Sharma · 2025
This research presents a novel approach to early patient identification to identify people with the condition. The four components of the suggested technique are the feature extraction, feature selection, classification, and picture preprocessing phase. This work consists of two modules: a feature selection section using hybrid particle swarm optimization and firefly algorithm, and a rapid selection process that makes use of information gain. A hybrid feature extraction approach combining Resnet 50 and Densenet 169. The benefits of firefly and particle swarm optimization help to overcome several limitations, including uneven exploitation and being locked in a locally optimal solution. The suggested hybrid approaches increase the effectiveness of patients’ categorization.