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...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mansura Naznine (21399893) (author)
مؤلفون آخرون:	Abdus Salam (1918387) (author), Muhammad Mohsin Khan (22150360) (author), Sadia Farhana Nobi (21512813) (author), Muhammad E. H. Chowdhury (14150526) (author)
منشور في:	2025
الموضوعات:	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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An Ensemble Deep Learning Approach for Accurate Urinary Sediment Detection Using YOLOv9e and KD-YOLOX-ViT

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