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

Urine sediment examination (USE) is an important issue in the detection of urinary system
diseases and is a prerequisite, especially in the diagnosis of kidney diseases. The low …

The identification of urine sediment in human urine samples through microscopic images is
a critical part of in vitro testing. Currently, automatic urine sediment analyzers are used by …

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 …

Urinary particles are important requirements in clinical urinalysis, particularly in the
diagnosis and monitoring of patients suspected of renal diseases and urinary tract …

Kidney stones are primarily crystals formed from ion oversaturation in urine. Currently, the
diagnosis of kidney stones involves experienced professionals manually interpreting images …

This study focuses on classifying different types of urine crystals using Convolutional Neural
Networks (CNN). 1100 data samples are collected from medical books and hospitals and …

A microscopic examination is performed by a veterinary lab personnel to detect entities
present in urine sediments. Some of these entities are casts, white blood cells, red blood …

The automatic detection of urine sediment particle (USP) in microscopy images plays a vital
role in evaluating renal and urinary tract diseases. Convolutional neural networks (CNN) …