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Chapter and Conference Paper
SLf-UNet: Improved UNet for Brain MRI Segmentation by Combining Spatial and Low-Frequency Domain Features
Deep learning-based methods have shown remarkable performance in brain tumor image segmentation. However, there is a lack of research on segmenting brain tumor lesions using frequency domain features of images...
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Chapter and Conference Paper
Investigating the Impact of Product Contours on User Perception of Product Attributes
Perceptual engineering research has examined product contours as a crucial component of product design. The research, however, mostly focuses on the contours of particular products, and it is not yet obvious w...
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Article
Fusing structure and color features for cancelable face recognition
Face-based biometric recognition is widely used nowadays, where substantial face images are commonly stored on third-party servers. Since the sensitive information of an individual is contained in facial image...
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Article
Color image encryption based on discrete trinion Fourier transform and random-multiresolution singular value decomposition
With more and more color images are spread and shared in the untrusted cloud server remotely over the open Internet, some private or confidential information may be contained, it is necessary to develop crypto...
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Article
Single-target localization in video sequences using offline deep-ranked metric learning and online learned models updating
Foreground targets localization in video sequences receives much popularity in computer vision during the past few years, and its studies are highly related toward machine learning techniques. Driven by the re...
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Article
Multiple color image encryption and authentication based on phase retrieval and partial decryption in quaternion gyrator domain
In this paper, a multiple color image encryption and authentication scheme by using phase retrieval in quaternion gyrator domain and partial decryption is introduced. The quaternion representation is firstly e...
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Article
Image-based dementia disease diagnosis via deep low-resource pair-wise learning
Medical Images data is widely acknowledged for its large volumes, high complexities and limited labels information, which makes learning-based tasks challenging to obtain promising performance based on such im...
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Article
Pixel-wise partial volume effects correction on arterial spin labeling magnetic resonance images
Arterial spin labeling is a recently emerging imaging modality in functional magnetic resonance, and it is widely acknowledged to be effective in directly measuring the cerebral blood flow of patients while be...
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Article
Efficient Maintenance of Continuous Queries for Trajectories
We address the problem of optimizing the maintenance of continuous queries in Moving Objects Databases, when a set of pending continuous queries need to be reevaluated as a result of bulk updates to the trajec...