Breast Cancer Detection based on Deep Neural Network using Multi-Model Features

The disease that causes more threat in a woman's life is breast cancer. Breast cancer is one of the most common types of cancer. Early detection of this type of cancer is crucial for the positive outcome of the treatment process. According to the latest study, India has recorded only a 66.6% survival rate. Various kinds of screening methods for the detection of breast cancer are available. The paper discusses the Deep Neural Network approach of breast cancer detection extracting both shape and texture features. The fused features are applied on the Wisconsin breast cancer dataset for experimentation to differentiate benign and malignant tumours. The approach used multi-model features to classify benign and malignant tumours. The performance of the experimental results is promising in classifying benign and malignant cells.