首页|Study Findings on Artificial Intelligence Reported by Researchers at National Co llege of Business Administration and Economics (Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligen ce)
Study Findings on Artificial Intelligence Reported by Researchers at National Co llege of Business Administration and Economics (Identification of kidney stones in KUB X-ray images using VGG16 empowered with explainable artificial intelligen ce)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news reporting from National Colleg e of Business Administration and Economics by NewsRx journalists, research state d, "A kidney stone is a solid formation that can lead to kidney failure, severe pain, and reduced quality of life from urinary system blockages." Financial supporters for this research include This Research Work Is Supported B y Qatar National Library.. Our news editors obtained a quote from the research from National College of Bus iness Administration and Economics: "While medical experts can interpret kidney- ureter-bladder (KUB) X-ray images, specific images pose challenges for human det ection, requiring significant analysis time. Consequently, developing a detectio n system becomes crucial for accurately classifying KUB X-ray images. This artic le applies a transfer learning (TL) model with a pre-trained VGG16 empowered wit h explainable artificial intelligence (XAI) to establish a system that takes KUB X-ray images and accurately categorizes them as kidney stones or normal cases. The findings demonstrate that the model achieves a testing accuracy of 97.41% in identifying kidney stones or normal KUB X-rays in the dataset used. VGG16 mod el delivers highly accurate predictions but lacks fairness and explainability in their decision-making process. This study incorporates the Layer-Wise Relevance Propagation (LRP) technique, an explainable artificial intelligence (XAI) techn ique, to enhance the transparency and effectiveness of the model to address this concern."
National College of Business Administrat ion and EconomicsArtificial IntelligenceEmerging TechnologiesMachine Learn ing
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