Deep learning in ex-vivo lung cancer discrimination using fluorescence lifetime endomicroscopic images
Q Wang, JR Hopgood, N Finlayson… - 2020 42nd annual …, 2020 - ieeexplore.ieee.org
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but
conventional discrimination methods are primarily based on statistical approaches in …
conventional discrimination methods are primarily based on statistical approaches in …
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
Q Wang, JR Hopgood, N Finlayson… - … Conference of the …, 2020 - researchportal.hw.ac.uk
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but
conventional discrimination methods are primarily based on statistical approaches in …
conventional discrimination methods are primarily based on statistical approaches in …
[PDF][PDF] Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
Q Wang, J Hopgood, N Finlayson, GOS Williams… - academia.edu
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but
conventional discrimination methods are primarily based on statistical approaches in …
conventional discrimination methods are primarily based on statistical approaches in …
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
Q Wang, JR Hopgood, N Finlayson… - … Conference of the …, 2020 - pubmed.ncbi.nlm.nih.gov
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but
conventional discrimination methods are primarily based on statistical approaches in …
conventional discrimination methods are primarily based on statistical approaches in …
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
Q Wang, J Hopgood, N Finlayson… - … Conference of the …, 2020 - research.ed.ac.uk
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but
conventional discrimination methods are primarily based on statistical approaches in …
conventional discrimination methods are primarily based on statistical approaches in …
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images.
Q Wang, JR Hopgood, N Finlayson… - … Conference of the …, 2020 - europepmc.org
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but
conventional discrimination methods are primarily based on statistical approaches in …
conventional discrimination methods are primarily based on statistical approaches in …
[PDF][PDF] Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
Q Wang, J Hopgood, N Finlayson, GOS Williams… - pure.ed.ac.uk
Fluorescence lifetime is effective in discriminating cancerous tissue from normal tissue, but
conventional discrimination methods are primarily based on statistical approaches in …
conventional discrimination methods are primarily based on statistical approaches in …
[引用][C] Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
Q Wang, J Hopgood, N Finlayson, GOS Williams… - research.ed.ac.uk
Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime
Endomicroscopic Images – Research output — University of Edinburgh Research Explorer Skip …
Endomicroscopic Images – Research output — University of Edinburgh Research Explorer Skip …