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Towards transforming malaria vector surveillance using VectorBrain: a novel convolutional neural network for mosquito species, sex, and abdomen status identifications.

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第一作者： Deming,Li

第一单位： Center for Bioengineering Innovation and Design, Department of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA.;Department of Electrical and Computer Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA.

作者： Deming,Li ^[1] ; Shruti,Hegde ^[2] ; Aravind,Sunil Kumar ^[2] ; Atul,Zacharias ^[2] ; Parthvi,Mehta ^[2] ; Venkat,Mukthineni ^[2] ; Satwik,Srimath ^[3] ; Sunny,Patel ^[4] ; Maitreya,Suin ^[3] ; Rama,Chellappa ^[3] ; Soumyadipta,Acharya ^[5]

作者单位： Center for Bioengineering Innovation and Design, Department of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA.;Department of Electrical and Computer Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA. ^[1] Department of Computer Science, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA. ^[2] Department of Electrical and Computer Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA. ^[3] Center for Bioengineering Innovation and Design, Department of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA. ^[4] Center for Bioengineering Innovation and Design, Department of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, MD, 21218, USA. acharya@jhu.edu. ^[5]

关键词 CNN Deep learning Malaria surveillance

医学主题词动物(Animals);疟疾(Malaria);女(雌)性(Female);男(雄)性(Male);腹部(Abdomen);人类(Humans)

DOI 10.1038/s41598-024-71856-8

PMID 39384771

发布时间 2024-11-17

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准确一般字义偏差语意偏离译文作用小提交