Contribution to the Characterization of the Kidney Ultrasound Image Using Singularity Levels-Reference-Cited by-同舟云学术

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Contribution to the Characterization of the Kidney Ultrasound Image Using Singularity Levels

Published:2023-09-28 Issue: Volume: Page:
ISSN:
Container-title:The 3rd International Day on Computer Science and Applied Mathematics
language:
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Author:

Alaoui Mustapha Tahiri¹²,Korchiyne Redouan³^ORCID

Affiliation:

1. Laboratoire d’Informatique, Mathématique Appliquées, Intelligence Artificielle et Reconnaissance de Formes (LIMIARF), Analysis and Conception of Systems (ACSYS), Faculty of Sciences, Mohammed V University, Rabat 10140, Morocco

2. Hassan II Academy of Science and Technology, Rabat 10100, Morocco

3. Computer Research Laboratory, Superior School of Technology, Ibn Tofaïl University, Kenitra 14000, Morocco

Publisher

MDPI

Link

https://www.mdpi.com/2813-0324/6/1/12/pdf

Reference15 articles.

1. Sharma, K., and Virmani, J. (2017). Hybrid Intelligent Techniques for Pattern Analysis and Understanding, Chapman and Hall.

2. Classification of Ultrasound Images of Kidney;Akkasaligar;IJCA Proc. Int. Conf. Inf. Commun. Technol.,2014

3. Ahmad, R., and Mohanty, B.K. (2021). Chronic Kidney Disease Stage Identification Using Texture Analysis of Ultrasound Images. Biomed. Signal Process. Control, 69.

4. Iqbal, F., Pallewatte, A.S., and Wansapura, J.P. (2017, January 6–9). Texture Analysis of Ultrasound Images of Chronic Kidney Disease. Proceedings of the Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer), Colombo, Sri Lanka.

5. Characterization of Kidney Infection in Ultrasound B-mode Images Using Texture Analysis;Garelnabi;Int. J. Sci. Res.,2016

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