An Ensemble Deep Learning Approach for Accurate Urinary Sediment Detection Using YOLOv9e and KD-YOLOX-ViT

An Ensemble Deep Learning Approach for Accurate Urinary Sediment Detection Using YOLOv9e and KD-YOLOX-ViT

<p dir="ltr">Urinary Tract Infections (UTIs) are common medical diseases that occur from bacterial infections which can impact any area of the urinary system. Detecting urine particles is crucial for diagnosing UTIs and other renal abnormalities, as the presence of red blood cells (R...

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Bibliographic Details
Main Author: Mansura Naznine (21399893) (author)
Other Authors: Abdus Salam (1918387) (author), Muhammad Mohsin Khan (22150360) (author), Sadia Farhana Nobi (21512813) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published: 2025
Subjects:
Engineering
Biomedical engineering
Information and computing sciences
Artificial intelligence
Urine sediment detection
YOLOv9e
KD-YOLOX-ViT
external validation
ensembling methods
Accuracy
Adaptation models
Kidney
Deep learning
Microscopy
White blood cells
Medical diagnostic imaging
Feature extraction
Bacteria
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