Optimised RFO tuned RF-DETR model for precision urine microscopy for renal and systemic disease diagnosis

Abstract Accurate detection and classification of cellular and non-cellular components in urine microscopy images are essential for early diagnosis of renal and systemic health conditions. This study presents an optimized object detection framework based on the Red Fox Optimization (RFO)-enabled Rob...

書誌詳細
出版年:	Scientific Reports
主要な著者:	Neeraj Dahiya, Deo Prakash, Shakti Kundu, Shanu Rakesh Kuttan, Isha Suwalka, Manel Ayadi, Mitiku Dubale, Arshad Hashmi
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2025-07-01
主題:	RF-DETR model Red Fox optimization (RFO) Urine microscopy Object detection Hyperparameter tuning Automated diagnosis
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-11725-0

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