Automatic Kidney Stones Diagnosis with Coronal CT Scan Images using DenseNet۱۲۱ Deep Learning Approach

Kidney stones are solid stones that lead to kidney failure, severe pain and reduced quality of life due to urinary system obstruction. While medical professionals can interpret various renal images, the various images pose challenges for human diagnosis that require significant analysis time. Consequently, it is very important to develop a diagnosis system for accurate classification of CT scan images. This paper uses DenseNet۱۲۱ deep learning model to provide a system for the diagnosis and classification of kidney stones. The results obtained in the simulation with MATLAB represented the proposed approach has a better evaluation rate in terms of accuracy with ۹۸.۹۷%, sensitivity ۹۱.۲۵%, specificity ۹۸.۵۰% and recall ۹۶.۶۷% compared to previous similar methods.

Keywords:

Kidney Stones , Deep Learning , DenseNet۱۲۱ , CT scan