Results 241 to 250 of about 88,823 (266)
Some of the next articles are maybe not open access.
2010
The paper presents an approach for computer-assisted diagnosis of some diseases (e.g. anaemia, malaria), which are caused by deformations of erythrocyte shapes. In the method firstly the thresholding of the input MGG image is performed, using modified thresholding based on fuzzy measures. Secondly, every cell is localised and extracted.
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The paper presents an approach for computer-assisted diagnosis of some diseases (e.g. anaemia, malaria), which are caused by deformations of erythrocyte shapes. In the method firstly the thresholding of the input MGG image is performed, using modified thresholding based on fuzzy measures. Secondly, every cell is localised and extracted.
openaire +2 more sources
Automated molecular-image cytometry and analysis in modern oncology
Nature Reviews Materials, 2020Ralph Weissleder, Hakho Lee
exaly
nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation
Nature Methods, 2020Fabian Isensee +2 more
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Ultrafast machine vision with 2D material neural network image sensors
Nature, 2020Lukas Mennel +2 more
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Image-based profiling for drug discovery: due for a machine-learning upgrade?
Nature Reviews Drug Discovery, 2020Srinivas Niranj Chandrasekaran +2 more
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Journal of the American Society of Echocardiography, 1995
Ruediger Lange +3 more
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Ruediger Lange +3 more
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Image-guided cancer surgery using near-infrared fluorescence
Nature Reviews Clinical Oncology, 2013Alexander L Vahrmeijer +1 more
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A survey on deep learning in medical image analysis
Medical Image Analysis, 2017Geert Js Litjens +2 more
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Flat optics for image differentiation
Nature Photonics, 2020You Zhou, Hanyu Zheng, Ivan I Kravchenko
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