Gaussian Dropout Based Stacked Ensemble CNN for Classification of Breast Tumor in Ultrasound Images

• This research aims to address the research gaps in the classification of breast tumors from ultrasound images. • The study proposes a novel stacking ensemble CNN architecture to detect breast tumors. • The use of gaussian dropout layer and a customized alternative pooling scheme have been explored in this study. Breast cancer and breast tumors have been considered to be the most pervasive form of cancer in medical practice. Breast tumors are...