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Research at Lancaster
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Results for cervical cancer
Publications & Outputs
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
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
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