Abstract
Weakly-supervised learning-based technique is employed for hologram reconstruction of planktons recorded in digital in-line holographic setup. One-level wavelet decomposition of the reconstructed image is computed to generate a mask and subsequently a ground truth image to train the network.
© 2022 The Author(s)
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