Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2024
Deep learning-based virtual H&E staining from label-free autofluorescence lifetime images
Wang, Q., Akram, A. R., Dorward, D., Talas, S., Monks, B., Thum, C., Hopgood, J. R., Javidi, M. & Vallejo, M., 28 Jun 2024, (E-pub ahead of print) In: njp Imaging. 2, 1, p. 17
Research output: Contribution to journal › Article › peer-review

Open Access
File
Applications of Machine Learning in time-domain Fluorescence Lifetime Imaging: A Review
Gouzou, D., Taimori, A., Haloubi, T., Finlayson, N., Wang, Q., Hopgood, J. R. & Vallejo, M., 1 Apr 2024, In: Methods and Applications in Fluorescence. 12, 2, 022001.
Research output: Contribution to journal › Article › peer-review

Open Access
File
2021
Fluorescence lifetime imaging endomicroscopy based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks
Wang, Q., Hopgood, J. R. & Vallejo, M., 15 Feb 2021, Proceedings : Medical Imaging 2021: Computer-Aided Diagnosis. SPIE, Vol. 11597.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2020
Fluorescence Lifetime Endomicroscopic Image-based ex-vivo Human Lung Cancer Differentiation Using Machine Learning
Wang, Q., Hopgood, J. & Vallejo, M., 15 Jan 2020, TechRxiv.
Research output: Working paper

Research output