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Published June 15, 2023 | Version v1
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Kidney Stone Detection Using Image Processing

Authors/Creators

  • 1. Student, Department of MCA, Hindusthan College of Engineering and Technology, Coimbatore, India.
  • 2. Professor, Department of MCA, Hindusthan College of Engineering and Technology, Coimbatore, India.

Description

Kidney stones have increased in prevalence in recent years, and early detection is essential since failure to do so may lead to problems and the need for surgical removal of the stone. Because image processing has a bias towards producing exact findings and is an automatically scalable approach of stone detection, it opens the way for accurate stone detection. Due to their size and location, kidney stones might be difficult to see with ultrasonography.Kidney stones have increased in prevalence in recent years, and early detection is essential since failure to do so may lead to problems and the need for surgical removal of the stone. Because image processing has a bias towards producing exact findings and is an automatically scalable approach of stone detection, it opens the way for accurate stone detection. Due to their size and location, kidney stones might be difficult to see with ultrasonography.

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References

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