AIMC Topic: Cellular Structures
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Label2label: training a neural network to selectively restore cellular structures in fluorescence microscopy.
Journal of cell science
Feb 10, 2022
Immunofluorescence microscopy is routinely used to visualise the spatial distribution of proteins that dictates their cellular function. However, unspecific antibody binding often results in high cytosolic background signals, decreasing the image con...
Comparing convolutional neural networks and preprocessing techniques for HEp-2 cell classification in immunofluorescence images.
Computers in biology and medicine
Nov 20, 2019
Autoimmune diseases are the third highest cause of mortality in the world, and the identification of an anti-nuclear antibody via an immunofluorescence test for HEp-2 cells is a standard procedure to support diagnosis. In this work, we assess the per...
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