Fluorescence lifetime imaging endomicroscopy-based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks.
Qiang WangJames R. HopgoodMarta VallejoPublished in: Medical Imaging: Computer-Aided Diagnosis (2021)
Keyphrases
- lung cancer
- convolutional neural networks
- multiscale
- image analysis
- automated detection
- early detection
- small animal
- pulmonary nodules
- survival prediction
- cancer diagnosis
- fluorescence microscopy
- optical properties
- image processing
- lung cancer patients
- edge detection
- cancer cells
- convolutional network
- risk factors
- input image
- pet ct
- coarse to fine
- clinical applications
- image reconstruction
- computer vision