As internal cancerous tumors resemble healthy tissues, frozen section analysis is used during and after surgeries to confirm if the entire human is removed. This is a slow process that often requires regular follow-up procedures. Researchers developed a hyperspectral surgical microscope which enables to spot cancer cells in real-time during surgeries. It not only images across the optical spectrum (from UV to infrared), but also uses machine learning techniques to analyze the produced images and identify tell-tale signs of cancer.
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