<span lang="EN-US">Image classification is an essential task in computer vision with various applications such as bio-medicine, industrial inspection. In some specific cases, a huge training data required to have better model. However, it true that full label costly obtain. Many basic pre-processing methods are applied for generating new images by translation, rotation, flipping, cropping...

Breast cancer prediction datasets are usually class imbalanced, where the number of data samples in malignant and benign patient classes significantly different. Over-sampling techniques can be used to re-balance construct more effective models. Moreover, some related studies have considered feature selection remove irrelevant features from for further performance improvement. However, since or...