KUB-UNet: Segmentation of Organs of Urinary System from a KUB X-ray Image.

Journal: Computer methods and programs in biomedicine
Published Date: Jul 17, 2022

Abstract

PURPOSE: The alarming increase in diseases of urinary system is a cause of concern for the populace and health experts. The traditional techniques used for the diagnosis of these diseases are inconvenient for patients, require high cost, and additional waiting time for generating the reports. The objective of this research is to utilize the proven potential of Artificial Intelligence for organ segmentation. Correct identification and segmentation of the region of interest in a medical image are important to enhance the accuracy of disease diagnosis. Also, it improves the reliability of the system by ensuring the extraction of features only from the region of interest.

Authors

  • Geeta Rani
    Department of Computer and Communication Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, Rajasthan 303007, India.
  • Priyam Thakkar
    Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India, 303007. Electronic address: priyamthakkar8@gmail.com.
  • Akshat Verma
    Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India, 303007. Electronic address: akshatp9454@gmail.com.
  • Vanshika Mehta
    Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India, 303007. Electronic address: vanshikamehta1192001@gmail.com.
  • Rugved Chavan
    Department of Computer and Communication Engineering, Manipal University Jaipur, Jaipur, India, 303007. Electronic address: rugvedm12@gmail.com.
  • Vijaypal Singh Dhaka
    Department of Computer and Communication Engineering, Manipal University Jaipur, Dehmi Kalan, Jaipur, Rajasthan 303007, India.
  • Ravindra Kumar Sharma
    RG Stone Group of Hospitals, India. Electronic address: drravisharma2812@gmail.com.
  • Eugenio Vocaturo
    Department of Computer Engineering, Modeling, Electronics and Systems - DIMES, University of Calabria, Rende, Italy.
  • Ester Zumpano
    Department of Computer Engineering, Modeling, Electronics and Systems (DIMES), University of Calabria, Italy; CNR NANOTEC, National Research Council, Rende, Italy. Electronic address: e.zumpano@dimes.unical.it.

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