Posted on
16 September 2022
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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A. Dibao-Dina et al. / Biosensors and Bioelectronics 66 (2015) 69–76.
Abstract :
Cryptosporidium is the main origin of worldwide waterborne epidemic outbreaks caused by protozoan parasites. Its resilience to water chemical treatments and the absence of therapy led to consider it as...
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Follet et al. / Veterinary Research 2011, 42:116.
Abstract :
Feces from 142 animals were collected on 15 farms in the region of Brittany, France. Each sample was directly collected from the rectum of the animal and identified with the ear tag number....
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A new, label-free, real time and non-invasive method is presented to detect the presence of infectious parasites in water and ...
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