Convolutional neural network advances in demosaicing for fluorescent cancer imaging with color–near-infrared sensors
Yifei Jin,
Borislav Kondov,
Goran Kondov
et al.
Abstract:.
Significance
Single-chip imaging devices featuring vertically stacked photodiodes and pixelated spectral filters are advancing multi-dye imaging methods for cancer surgeries, though this innovation comes with a compromise in spatial resolution. To mitigate this drawback, we developed a deep convolutional neural network (CNN) aimed at demosaicing the color and near-infrared (NIR) channels, with its performance validated on both pre-clinical and clinical datasets.
Aim
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