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Published in 2022 at "IEEE Transactions on Cognitive and Developmental Systems"
DOI: 10.1109/tcds.2020.3035572
Abstract: Pneumothorax is common but a life-threatening thoracic disease, which is difficult to diagnose based on chest X-ray images due to its subtle characteristics and low contrast of the disease regions. We aim to develop a…
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Keywords:
stage deep;
two stage;
pneumothorax;
segmentation ... See more keywords
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1
Published in 2021 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2020.3040082
Abstract: In this letter, we compose a new three-stage deep convolutional neural network (NTSDCN) for image demosaicking, and it consists of our proposed Laplacian energy-constrained local residual unit (LC-LRU) and a feature-guided prior fusion unit (FG-PFU).…
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Keywords:
image;
three stage;
network;
new three ... See more keywords
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Published in 2022 at "IEEE Transactions on Emerging Topics in Computing"
DOI: 10.1109/tetc.2020.3034559
Abstract: Depth estimation plays a significant role in industrial applications, e.g., augmented reality, robotic mapping and autonomous driving. Traditional approaches for capturing depth, such as laser or depth sensor based methods, are difficult to use in…
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Keywords:
regression;
deep regression;
stage deep;
depth ... See more keywords
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Published in 2022 at "Optics express"
DOI: 10.1364/oe.469312
Abstract: Phase unwrapping is a critical step to obtaining a continuous phase distribution in optical phase measurements and coherent imaging techniques. Traditional phase-unwrapping methods are generally low performance due to significant noise or undersampling. This paper…
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Keywords:
stage deep;
net two;
phase unwrapping;
two stage ... See more keywords