Machine Intelligence Research Institute

Hybrid mammogram mass segmentation and classification using efficient handcrafted features and ensemble learning

Early detection and accurate classification of mammographic abnormalities are essential to reducing the mortality rate. The proposed work on mammogram mass segmentation addresses this issue using a hybrid approach that combines mean median iterative filtering, fuzzy logic, Multil...