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Detecting crossovers in cryo‐electron microscopy images of protein fibrils is an important step towards determining the morphological composition of a sample. Currently, the crossover locations are picked by hand, which introduces errors and is a time‐consuming procedure. With the rise of deep learning in computer vision tasks, the automation of such problems has become more and more applicable....
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