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Deep learning model trained on mobile phone-acquired frozen section images effectively detects basal cell carcinoma
Results: The model uses an image as input and produces a 2-dimensional black and white output of prediction of the same dimension; the areas determined to be basal cell carcinoma were displayed with white color, in a black background.
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