Deep Learning for effective triaging of skin disease in the NHS

Project Details

StatusFinished
Effective start/end date1/03/2128/02/22

Funding

  • National Institute for Health Research: £149,949.00

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  • Robust Selective Classification of Skin Lesions with Asymmetric Costs

    Carse, J., Suveges, T., Hogg, S., Trucco, E., Proby, C., Fleming, C. & McKenna, S., 2021, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis - 3rd International Workshop, UNSURE 2021, and 6th International Workshop, PIPPI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Sudre, C. H., Licandro, R., Baumgartner, C., Melbourne, A., Dalca, A., Hutter, J., Tanno, R., Abaci Turk, E., Van Leemput, K., Torrents Barrena, J., Wells, W. M. & Macgowan, C. (eds.). Cham: Springer , p. 112-121 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12959 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
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