Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligence

Abstract A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced quality of life from urinary system blockages. While medical experts can interpret kidney-ureter-bladder (KUB) X-ray images, specific images pose challenges for human detection, requiring significa...

Full description

Bibliographic Details
Main Authors: Fahad Ahmed, Sagheer Abbas, Atifa Athar, Tariq Shahzad, Wasim Ahmad Khan, Meshal Alharbi, Muhammad Adnan Khan, Arfan Ahmed
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Artificial intelligence (AI)
Machine learning (ML)
Deep learning (DL)
Convolutional neural network (CNN)
Transfer learning (TL)
VGG16
Online Access:https://doi.org/10.1038/s41598-024-56478-4

Internet

https://doi.org/10.1038/s41598-024-56478-4

Similar Items