Polarization speckle is a noise-like interference pattern created when a skin lesion is illuminated by laser light. This project uses new AI techniques to decode the patterns, to help classify skin lesions as malignant or benign. The pattern encodes the surface and internal optical properties of the skin lesion. In the past, mathematical and statistical models have been used to extract information from these patterns, but new machine learning and artificial intelligence techniques provide the opportunity for deeper analysis. This project applies these new techniques to decode the patterns, to help classify skin lesions as malignant or benign. Further study into the extraction of polarization speckle properties could help develop prognostic models to help skin cancer treatment.
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