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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2884969
Abstract: We propose the deep hierarchical network (DHN) for the quantitative analysis of facial palsy. Facial palsy, also known as Bell’s palsy, is the most common type of facial nerve palsy that results in the loss…
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Keywords:
line segment;
analysis;
palsy;
facial palsy ... See more keywords
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2
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3169177
Abstract: As of today, the best accuracy in line segment detection (LSD) is achieved by algorithms based on convolutional neural networks – CNNs. Unfortunately, these methods utilize deep, heavy networks and are slower than traditional model-based…
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Keywords:
line segment;
tex math;
inline formula;
line ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3154046
Abstract: Recently, several recurrent neural network (RNN)-based models have been proposed to delineate the outlines of buildings from very high resolution (VHR) remote sensing images. These models first use convolutional neural networks (CNNs) to recognize the…
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Keywords:
network;
remote sensing;
recurrent neural;
line segment ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3197055
Abstract: In this article, we propose a new line segment detection framework based on a novel pixel orientation estimation (POE) method, which detects line segments from binary edge maps and can be combined with any edge…
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Keywords:
line segment;
orientation;
line;
sar images ... See more keywords
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Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3165258
Abstract: Leakage detection of water distribution networks (WDNs) plays a key role in water management. Current leakage detection methods mostly have high requirements for the installation of sensors in WDN. So, there needs an efficient and…
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Keywords:
leakage detection;
water;
segment clustering;
line segment ... See more keywords