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Research

Results for cervical cancer

Publications & Outputs

  1. Improving the Accuracy and Efficiency of Abnormal Cervical Squamous Cell Detection with Cytologist-in-the-Loop Artificial Intelligence

    Xue, P., Xu, H.-M., Tang, H.-P., Weng, H.-Y., Wei, H.-M., Wang, Z., Zhang, H.-Y., Weng, Y., Xu, L., Li, H.-X., Seery, S., Han, X., Ye, H., Qiao, Y.-L. & Jiang, Y., 31/08/2023, In: Modern Pathology. 36, 8, 100186.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning

    Meza Ramirez, C. A., Greenop, M., Almoshawah, Y. A., Martin Hirsch, P. L. & Rehman, I. U., 4/05/2023, In: Expert Review of Molecular Diagnostics. 23, 5, p. 375-390 16 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Elucidating the spatially varying relation between cervical cancer and socio-economic conditions in England

    Cheng, E. M. Y., Atkinson, P. M. & Shahani, A. K., 26/09/2011, In: International Journal of Health Geographics. 10, p. 51-67 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review