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IET Image Processing

Published By Wiley

  • LATEST MANUSCRIPTS IN IET Image Processing
  • Wei Wang, Wendi Huang, Xin Wang, Peng Zhang, Nian Zhang. A COVID-19 CXR image recognition method based on MSA-DDCovidNet. IET image processing. 2022, 16 (8): 2101-2113
    Cited : 7
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  • Ziwang Huang, Liang Li, Xiang Zhang, Ying Song, Jianwen Chen, Huiying Zhao, Yutian Chong, Hejun Wu, Yuedong Yang, Jun Shen, Yunfei Zha. A coarse-refine segmentation network for COVID-19 CT images. IET image processing. 2022, 16 (2): 333-343
    Cited : 7
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  • . A computerized doughty predictor framework for corona virus disease: Combined deep learning based approach. IET image processing. 2022, :
    Cited : 0
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  • Noor Ahmed, Xin Tan, Lizhuang Ma. LW-CovidNet: Automatic covid-19 lung infection detection from chest X-ray images. IET image processing. 2022, :
    Cited : 4
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  • Emrah Irmak. COVID-19 disease severity assessment using CNN model. IET image processing. 2021, 15 (8): 1814-1824
    Cited : 51
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  • Fuli Yu, Yu Zhu, Xiangxiang Qin, Ying Xin, Dawei Yang, Tao Xu. A multi-class COVID-19 segmentation network with pyramid attention and edge loss in CT images. IET image processing. 2021, 15 (11): 2604-2613
    Cited : 9
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  • Riccardo Ziraldo, Nichole Link, John Abrams, Lan Ma. Towards automatic image analysis and assessment of the multicellular apoptosis process. IET image processing. 2015, 9 (5): 424-433
    Cited : 2
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  • Qing Guo, Fangmin Dong, Shuifa Sun, Bangjun Lei, Bruce Z Gao. Image denoising algorithm based on contourlet transform for optical coherence tomography heart tube image. IET image processing. 2013, 7 (5): 442-450
    Cited : 21
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