Deep Learning Architecture for Classification of Kidney Histopathology Images

Cancer in any form is very fatal, and its recognition at proper staging is hypercritical, which works as a precious boon in treatment. Kidney cancer is one of the subsets. Early detection provides an important decision for reducing chances of under and overtreatment. In this paper, we will explore the classification tasks performed by numerous deep learning models and propose a Deep Learning architecture for multi-class classification to categorize the three subtypes of Renal Cell Carcinoma (RCC) as well as the normal cell of the Kidney Histopathology Dataset, which demonstrates reasonably good improvements over the previously developed benchmark models.