Urine sediment examination is one of the main tests used in the diagnosis of many diseases.
Thanks to this test, many diseases can be detected in advance. Examining the results of this …

The diagnosis of kidney disease often involves analysing urine sediment particles.
Traditionally, urinalysis was performed manually by collecting urine samples and using a …

Urine microscopy is an essential diagnostic tool for kidney and urinary tract diseases, with
automated analysis of urinary sediment particles improving diagnostic efficiency. However …

Automated urine sediment analysis has become an essential part of diagnosing, monitoring,
and treating various diseases that affect the urinary tract and kidneys. However, manual …

This study aims to develop a high-speed and nondestructive mildewed rice grain detection
method. First, a set of microscopic images of rice grains contaminated by Aspergillus niger …

Abstract Background and Objective: Detecting urine red blood cells (U-RBCs) is an
important operation in diagnosing nephropathy. Existing U-RBC detection methods usually …

Urine sediment detection is an essential aid in assessing kidney health. Traditional machine
learning approaches treat urine sediment particle detection as an image classification task …

Sažetak The application of advanced artificial intelligence (AI) models and algorithms in
clinical laboratories is a new inevitable stage of development of laboratory medicine, since …

Urine can be used to diagnose diabetes in a non-invasively manner. Examination of blood
sugar levels as an indicator of diabetics is currently carried out using invasive methods …

Automated urine sediment analyzers play a crucial role in diagnosing urinary tract infections,
offering real-time data analysis and expediting patient diagnosis. This paper introduces a …