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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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research project funded by the FIRST TEAM FENG programme of the Foundation for Polish Science, entitled: “An innovative dynamic_DCIS_device mimicking the dynamic architecture of invasion in ductal carcinoma
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