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Scientific papers

A coarse-to-fine segmentation methodology based on deep networks for automated analysis of Cryptosporidium parasite from fluorescence microscopic images

YANG et al. / Medical Optical Imaging and Virtual Microscopy Image Analysis 2022 (MOVI) Workshop in Conjunction with MICCAI. Abstract : In this paper, we present a deep learning-based framework for automated analysis and diagnosis of Cryptosporidium parvum from fluorescence microscopic images. First, a...

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