LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results Article Swipe

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Rongsheng Wang , Yaofei Duan , Menghan Hu , Xiaohong Liu , Yukun Li , Qinquan Gao , Tong Tong , Tao Tan ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1016/j.displa.2023.102403

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Computer science Object detection Detector Artificial intelligence Task (project management) Pattern recognition (psychology) Feature extraction Convolution (computer science) Reduction (mathematics) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Computer vision Data mining Real-time computing Coronavirus disease 2019 (COVID-19) Engineering Artificial neural network Medicine Mathematics Disease Systems engineering Geometry Infectious disease (medical specialty) Pathology Telecommunications

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.displa.2023.102403
OA Status: green
Cited By: 14
References: 45
Related Works: 10
OpenAlex ID: https://openalex.org/W4324144477

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OpenAlex ID: https://openalex.org/W4324144477

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DOI: https://doi.org/10.1016/j.displa.2023.102403

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Title: LightR-YOLOv5: A compact rotating detector for SARS-CoV-2 antigen-detection rapid diagnostic test results

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Type: article

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Language: en

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Publication year: 2023

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Publication date: 2023-03-14

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Authors: Rongsheng Wang, Yaofei Duan, Menghan Hu, Xiaohong Liu, Yukun Li, Qinquan Gao, Tong Tong, Tao Tan

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Landing page: https://doi.org/10.1016/j.displa.2023.102403

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OA status: green

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OA URL: https://pmc.ncbi.nlm.nih.gov/articles/PMC10011043/pdf/main.pdf

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Concepts: Computer science, Object detection, Detector, Artificial intelligence, Task (project management), Pattern recognition (psychology), Feature extraction, Convolution (computer science), Reduction (mathematics), Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Computer vision, Data mining, Real-time computing, Coronavirus disease 2019 (COVID-19), Engineering, Artificial neural network, Medicine, Mathematics, Disease, Systems engineering, Geometry, Infectious disease (medical specialty), Pathology, Telecommunications

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Cited by: 14

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Citations by year (recent): 2025: 1, 2024: 8, 2023: 5

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References (count): 45

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Related works (count): 10

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