• Sameeksha P U
• Ranjith Bhat
• Varalakshmi
• Varshini Acharya
• Yashaswini R Amin

One of the major challenges in giving proper treatment is fast and accurate diagnosis of the disease. The main purpose of this project is to propose the best tool for kidney problem identification, to reduce the diagnosis time and to improve the efficiency and accuracy. In this project we have used Deep learning for classification and where we have used VGG16 and ResNet50 for Multiclass Classification task. It aims to classify people as healthy or patient individuals according to the status of Kidney.

VGG16, ResNet50, CNN, CT data set

"Multiclass Classification Of Kidney Stone,Cyst,Tumor And Normal Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.f374-f379, May-2023, Available :http://www.jetir.org/papers/JETIR2305554.pdf

"Multiclass Classification Of Kidney Stone,Cyst,Tumor And Normal Using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppf374-f379, May-2023, Available at : http://www.jetir.org/papers/JETIR2305554.pdf