An Optimized Data and Model Centric Approach for Multi-Class Automated Urine Sediment Classification

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 novel hybrid approach combining data-centric and model-centric techniques for automated urine sediment analysis. T...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Sania Akhtar, Muhammad Hanif, Ahmar Rashid, Khursheed Aurangzeb, Ejaz Ahmad Khan, Hamdi Melih Saraoglu, Kamran Javed
Format: Article
Language:English
Published: IEEE 2024-01-01
Subjects:
Data-centric
microscopic images
urine sediment
model-centric
vitro examination
automated urine sediment analyzer
Online Access:https://ieeexplore.ieee.org/document/10500500/

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