Multi-Class Breast Cancer Classification Using Ensemble of Pretrained models and Transfer Learning

AIMS: Early detection of breast cancer has reduced many deaths. Earlier CAD systems used to be the second opinion for radiologists and clinicians. Machine learning and deep learning have brought tremendous changes in medical diagnosis and imagining. BACKGROUND: Breast cancer is the most commonly occurring cancer in women and it is the second most common cancer overall. According to the 2018 statistics, there were over 2million cases all over the world. Belgium and Luxembourg have the highest rate of cancer. OBJECTIVE: A method for breast cancer detection has been proposed using Ensemble learning. 2- class and 8-class classification is performed. METHODS: To deal with imbalance classification, the authors have proposed an ensemble of pretrained models. RESULTS: 98.5% training accuracy and…