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Published in 2019 at "Microscopy and Microanalysis"
DOI: 10.1017/s1431927619000308
Abstract: Abstract Analysis of numerous filamentous structures in an image is often limited by the ability of algorithms to accurately segment complex structures or structures within a dense population. It is even more problematic if these…
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Keywords:
microscopy;
dseg dynamic;
dynamic image;
image ... See more keywords
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Published in 2018 at "Particulate Science and Technology"
DOI: 10.1080/02726351.2016.1248261
Abstract: ABSTRACT In this study, particle shapes of talc mineral ground by various types of mills were determined using automated dynamic image analyzer by counting averagely 19,000 particles for each mill product. The results were expressed…
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Keywords:
image;
differently milled;
dynamic image;
image analysis ... See more keywords
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Published in 2022 at "IEEE Transactions on Computational Imaging"
DOI: 10.1109/tci.2022.3208511
Abstract: Dynamic imaging is essential for analyzing various biological processes but faces two main challenges: data incompleteness and computational burden. For many imaging systems, high frame rates and short acquisition times require severe undersampling, leading to…
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Keywords:
dynamic image;
neural fields;
reconstruction;
image reconstruction ... See more keywords
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Published in 2023 at "Micromachines"
DOI: 10.3390/mi14050908
Abstract: Deep Neural Networks (DNNs) have achieved impressive performance in various image recognition tasks, but their large model sizes make them challenging to deploy on resource-constrained devices. In this paper, we propose a dynamic DNN pruning…
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Keywords:
dynamic image;
dnn pruning;
difficulty aware;
image difficulty ... See more keywords