Analysis and Identification of Nephrolithiasis from Ultrasound Images using Machine Learning Approach

SAMREEN NAEEM; AQIB ALI; SANIA ANAM

doi:10.3390/mol2net-08-13948

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Analysis and Identification of Nephrolithiasis from Ultrasound Images using Machine Learning Approach

SAMREEN NAEEM

^{*

1},

AQIB ALI

¹,

SANIA ANAM

¹ Southeast University, Nanjing, China
² Department of Computer Science, Govt Associate College for Women Ahmadpur East, Bahawalpur, Pakistan.

Academic Editor: Humbert G. Díaz

Published: 31 December 2022 by MDPI in MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed. congress NICE.XSM-08: North-Ibero-America Congress on Exp. & Simul. Methods, Valencia, Spain-Miami, USA, 2022

https://doi.org/10.3390/mol2net-08-13948

Abstract:

Nephrolithiasis, commonly known as kidney stone disease, is a disorder in which the deposition of certain minerals causes a stone to develop in the urinary tract. Urolithiasis is another name for nephrolithiasis. Most of the time, kidney calculi form in the renal system and are eliminated through the urine system. Even a tiny stone can readily travel through the urine without any issues. More than 5 millimeters (0.2 inches) in diameter, fully grown calculi can clog the urinary tract, which can cause intense pain in the lumbar region or the stomach. Calculi can result in problems such as dysuria, vomiting, and hematuria. The recommended approach for automatically segmenting kidney stones is based on a four-stage framework, the first of which calls for pre-processing kidney pictures for better enhancement and is followed by the active contour method for automatically segmenting kidney stones. In the future, an assessment will be performed depending on the size and kind of stone.

Keywords: Nephrolithiasis, Ultrasound, Machine Learning, Classification

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Iratxe Aguado-Ruiz

3 January 2023

Dear authors thank you for your support to the conference.
Now we closed the publication phase and launched the post-publication phase of the conference. REVIEWWWERS'08 Brainstorming Workshop is now open from 2023-Jan-01 to 2023-Jan-31. MOL2NET Committee, Authors, and Validated Social Media Followers Worldwide are invited to post moderated questions/answers, comments, about papers. Please kindly post your public answers (A) to the following questions in order to promote interchange of scientific ideas. These are my questions (Q) to you:
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Samreen Naeem

4 January 2023

Reply1: Artificial intelligence uses intelligent databases (IDB) systems which integrate the resources of both RDBMS's and KB's to offer a natural way to deal with information, making it easy to store, access and apply.

Reply 2: Computed tomography (CT) is a commonly used medical image diagnosis method in clinics.

SAMREEN NAEEM

AQIB ALI

SANIA ANAM