基于Transformer的宫颈异常细胞自动识别方法

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2024/01/01
  • Indian UGC (journal)
  • Refrences
    39
  • 张峥 Zhang Zheng
  • 陈明销 Chen Mingxiao
  • 李新宇 Li Xinyu
  • 程逸 Chen Yi
  • 申书伟 Shen Shuwei
  • 姚鹏 Yao Peng
Cite
Zhang Zheng 张峥, et al. “基于Transformer的宫颈异常细胞自动识别方法”. Chinese Journal of Lasers, vol. 51, no. 3, 2024, p. 0307108, https://doi.org/10.3788/cjl231261.
Zhang Zheng 张., Chen Mingxiao 陈., Li Xinyu 李., Chen Yi 程., Shen Shuwei 申., & Yao Peng 姚. (2024). 基于Transformer的宫颈异常细胞自动识别方法. Chinese Journal of Lasers, 51(3), 0307108. https://doi.org/10.3788/cjl231261
Zhang Zheng 张, Chen Mingxiao 陈, Li Xinyu 李, Chen Yi 程, Shen Shuwei 申, Yao Peng 姚. 基于Transformer的宫颈异常细胞自动识别方法. Chinese Journal of Lasers. 2024;51(3):0307108.
Refrences
Title Journal Journal Categories Citations Publication Date
人工智能辅助分析在宫颈液基薄层细胞学检查中的应用价值 2020
Computer-Assisted Screening for Cervical Cancer Using Digital Image Processing of Pap Smear Images

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  • Science: Chemistry: General. Including alchemy
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Science: Physics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
52 2020
Diagnostic Classification of Cervical Cell Images from Pap Smear Slides

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Semi-automatic segmentation and classification of pap smear cells 2014
American society of cytopathology workload recommendations for automated pap test screening: Developed by the productivity and quality assurance in the era of automated screening task force

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  • Medicine: Medicine (General): Medical technology
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