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7 hours ago · The recently developed deep learning frameworks have shown great promises in accurate sperm morphological assessment using both high-quality and low-quality images recorded using benchtop, bulky, expensive microscopes and low-cost, portable microscopes such as smartphone-based optics [48, 49]. The neural network developed by Thirumalaraju et al. was evaluated using image data associated with 9 smeared patient semen samples available through the American Association of Bioanalysts Proficiency ...
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