A Comparative Analysis of Different Models of Deep Learning for Prediction of Renal Cell Carcinoma

RCC (renal cell carcinoma) are one of the most common diseases that can be seen in an old age group today. For this problem, the technologists give the CT SCAN, MRI, and ultrasound images, so that the doctor or nephrologist can predict whether the disease is present or not. For this prediction problem, much research has been done on various approaches in the field of AI. Now researchers are making different models for better accuracy. In this paper, we have taken CT SCAN images from Radiopedia and then applied different models of deep learning for prediction. We compared each model for RCC prediction. We find that our model accuracy is 100%. We have also compared our model with other papers. We have concluded that many papers have used CNN because of huge image datasets and their models are failing when small datasets are applied.