Recently, machine learning (ML), a form of artificial intelligence (AI), has emerged as an important technique in biophotonics, an interdisciplinary field of science that merges the studies of light (photons) and medicine. Applications of ML algorithms to medicine include data preprocessing, feature detection, drug discovery, and disease classification, among others. In fact, it has been suggested that the use of ML algorithms, in particular deep learning (DL), may revolutionize biophotonics.
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