Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Kidney Stone Detection Using Image Processing

Authors: Kaviyarasan C; Dr.A.R.JayaSudha;

Kidney Stone Detection Using Image Processing

Abstract

{"references": ["1.\tAntony, L., Azam, S., Ignatious, E., Quadir, R., Beeravolu, A. R., Jonkman, M., & De Boer, F. (2021). A comprehensive unsupervised framework for chronic kidney disease prediction. IEEE Access, 9, 126481-126501.", "2.\tAkshaya, M., Nithushaa, R., Raja, N. S. M., & Padmapriya, S. (2020, July). Kidney Stone Detection Using Neural Networks. In 2020 International Conference on System, Computation, Automation and Networking (ICSCAN) (pp. 1-4). IEEE.", "3.\tRavindra, B. V., Sriraam, N., & Geetha, M. J. I. J. E. T. (2018). Classification of non-chronic and chronic kidney disease using SVM neural networks. Int. J. Eng. Technol, 7(1), 191-194.", "4.\tYashfi, S. Y., Islam, M. A., Sakib, N., Islam, T., Shahbaaz, M., & Pantho, S. S. (2020, July). Risk prediction of chronic kidney disease using machine learning algorithms. In 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE.", "5.\tJain, D., & Singh, V. (2018). Feature selection and classification systems for chronic disease prediction: A review. Egyptian Informatics Journal, 19(3), 179-189.", "6.\tAkkasaligar, P. T., & Biradar, S. (2014). Classification of medical ultrasound images of kidney. Int J Comput Appl, 3, 24-28."]}

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.

Keywords

Kidney stones, MLP-BP ANN, CNN (Convolutional Neural Network)

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 8
    download downloads 8
  • 8
    views
    8
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
8
8
Green
Related to Research communities