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Blockchain-Enabled Solutions for the Pharmaceutical Industry
book

Blockchain-Enabled Solutions for the Pharmaceutical Industry

by Ritika Wason, Parul Arora, Parma Nand, Vishal Jain, Vinay Kukreja
January 2025
Intermediate to advanced
592 pages
20h 25m
English
Wiley-Scrivener
Content preview from Blockchain-Enabled Solutions for the Pharmaceutical Industry

16A Block Chain-Enabled Novel Intelligent System Analysis for Medical Image Processing of Kidney Stone Prediction Using Deep Learning Techniques and Augmented Reality

Senthil G. A.1*, R. Prabha2, K. Latha3 and S. Sridevi4

1Department of Information Technology, Agni College of Technology, Chennai, India

2Department of Electronics and Communication Engineering, Sri Sairam Institute of Technology, Chennai, India

3Department of Computer Science and Engineering, Sri Sairam Engineering College, Tambaram, Chennai, Tamil Nadu, India

4Department of Computer Science and Engineering, Vels Institute of Science, Technology and Advanced Studies, Chennai, India

Abstract

Globally, kidney stone disease represents a grave condition which impacts millions of individuals. When stone problems are not identified in their infancy, damage to the kidneys develops. Most people in the present situation have kidney failure as a consequence of glomerulonephritis, diabetes, hypertension, more sleeping drugs, and other conditions. This is crucial to receive an evaluation as rapidly as practicable for renal disease due to its potential for harm. Excess calcium salts and uric acid secretion cause kidney stones to develop. The urinary tract may get blocked, resulting in acute pain in the lower back or abdomen. As a result, it is critical to locate the stone to avoid further health problems. The major aim of the proposed work is employing several deep learning algorithms for predicting the presence of kidney ...

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Publisher Resources

ISBN: 9781394287932Purchase Link