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Advancing blood cell detection and classification: performance evaluation of modern deep learning models.

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第一作者： Shilpa,Choudhary

第一单位： Department of CSE (AIML), Neil Gogte Institute of Technology, Hyderabad, India.

作者： Shilpa,Choudhary ^[1] ; Sandeep,Kumar ^[2] ; Pammi Sri,Siddhaarth ^[3] ; Guntu,Charitasri ^[4] ; Monali,Gulhane ^[5] ; Nitin,Rakesh ^[5] ; Feslin Anish,Mon ^[6] ; Amal,Al-Rasheed ^[7] ; Masresha,Getahun ^[8] ; Ben Othman,Soufiene ^[9]

作者单位： Department of CSE (AIML), Neil Gogte Institute of Technology, Hyderabad, India. ^[1] School of Computer Science and Artificial Intelligence, SR University, Warangal, Telangana, 506371, India. ^[2] Department of Computer Science and Engineering, Neil Gogte Institute of Technology, Hyderabad, India. ^[3] Department of Computer Science and Engineering (AIML), Keshav Memorial Engineering College, Hyderabad, India. ^[4] Department of CSE, Symbiosis Institute of Technology, Nagpur Campus, Symbiosis International (Deemed University), Pune, India. ^[5] Faculty in Department of Information technology, University of Technology and Applied Sciences, Ibri, Sultanate of Oman. ^[6] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia. ^[7] Department of Computer Science and Information Technology, College of Engineering and Technology, Kebri Dehar University, Kebri Dehar, Ethiopia. masreshaggetahun@gmail.com. ^[8] PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia. ^[9]

关键词 Blood cell detection Classification DarkNet MobileNetV2 Precision medicine Real-time detection ShuffleNetV2 YOLOv10

医学主题词人类(Humans);血细胞计数(Blood Cell Count);血细胞(Blood Cells)

DOI 10.1186/s12911-025-03027-2

PMID 40468312

发布时间 2025-06-07

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