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A hybrid predictor-corrector network and spatiotemporal classifier method for noisy plant PET image classification.

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第一作者： Weike,Chang

第一单位： Department of Medical Equipment, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, People's Republic of China.

作者： Weike,Chang ^[1] ; Nicola,D'Ascenzo ^[2] ; Emanuele,Antonecchia ^[3] ; Daniele,Passaretti ^[4] ; Giancarlo,Pagnani ^[5] ; Michele,Pisante ^[5] ; Qingguo,Xie ^[2]

作者单位： Department of Medical Equipment, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, People's Republic of China. ^[1] Department of Information Science and Technology, University of Science and Technology of China, Hefei, People's Republic of China.;School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People's Republic of China. ^[2] Department of Life Science and Technology, BF Research, Jolanda di Savoia, Italy. ^[3] Institute of Medical Engineering and Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany. ^[4] Department of Bioscience and Technologies for Food, Agriculture and Environment, University of Teramo, Teramo, Italy. ^[5]

关键词 classification dynamic plant PET,image denoising predictor–corrector network spatiotemporal classifier

医学主题词正电子发射断层显像术(Positron-Emission Tomography);图像处理, 计算机辅助(Image Processing, Computer-Assisted);植物(Plants);时间因素(Time Factors)

DOI 10.1088/1361-6560/ade8cd

PMID 40570895

发布时间 2025-07-07

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准确一般字义偏差语意偏离译文作用小提交