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optimization of machine learning methods for processing Quantum OCT (Q-OCT) signals. Design, training, and testing of neural network architectures for artefact and dispersion removal in Fd-Q-OCT and SS-Q-OCT
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 18 days ago
is a slow, expensive, and labor-intensive process. Large sums are invested into screening compound libraries to identify initial hits and structurally optimizing these initial compounds for human
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