• Laser & Optoelectronics Progress
  • Vol. 61, Issue 8, 0817001 (2024)
Guohua Liu1、2、*, Keding Yan2、**, Jing Xing1, Guojun Ma2, Jing Liu2, and Yanli Chen2
Author Affiliations
  • 1School of Intelligent Science and Information Engineering, Xi'an Peihua University, Xi'an 710025, Shaanxi , China
  • 2School of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, Shaanxi , China
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    DOI: 10.3788/LOP230873 Cite this Article Set citation alerts
    Guohua Liu, Keding Yan, Jing Xing, Guojun Ma, Jing Liu, Yanli Chen. Breast Cancer Cell Recognition System Based on Microscopic Image[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0817001 Copy Citation Text show less

    Abstract

    At present, it is highly subjective for pathologists to identify breast cancer cells in pathological cut images of breast cancer under microscope field of view by naked eyes. Therefore, we design a microscopic image based breast cancer cell recognition system, which includes microscopic image acquisition module and breast cancer cell recognition algorithm implementation module. Through USAF 1951 resolution test board, the microscopic image acquisition module of designed breast cancer recognition system is verified, and the final imaging resolution can reach 2.19 μm. In addition, the designed breast cancer cell recognition algorithm is verified by multiple sets of breast cancer pathological images, and the results show that the average accuracy of the designed breast cancer cell recognition system reaches 93.4%.
    Guohua Liu, Keding Yan, Jing Xing, Guojun Ma, Jing Liu, Yanli Chen. Breast Cancer Cell Recognition System Based on Microscopic Image[J]. Laser & Optoelectronics Progress, 2024, 61(8): 0817001
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