8 Result(s)
within
Computer Science
Artificial Intelligence
Information Storage and Retrieval
Dong-**ng Wang
Conference Paper
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Chapter and Conference Paper
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks
Image segmentation is a crucial step in many computer-aided medical image analysis tasks, e.g., automated radiation therapy. However, low tissue-contrast and large amounts of artifacts in medical images, i.e., CT...
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Chapter and Conference Paper
Deep Attentional Features for Prostate Segmentation in Ultrasound
Automatic prostate segmentation in transrectal ultrasound (TRUS) is of essential importance for image-guided prostate biopsy and treatment planning. However, develo** such automatic solutions remains very ch...
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Chapter and Conference Paper
Generalizing Deep Models for Ultrasound Image Segmentation
Deep models are subject to performance drop when encountering appearance discrepancy, even on congeneric corpus in which objects share the similar structure but only differ slightly in appearance. This perform...
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Chapter and Conference Paper
Multi-context Deep Convolutional Features and Exemplar-SVMs for Scene Parsing
Scene parsing is a challenging task in computer vision field. The work of scene parsing is labeling every pixel in an image with its semantic category to which it belongs. In this paper, we solve this problem ...
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Chapter and Conference Paper
High Capacity Reversible Data Hiding with Contrast Enhancement
Reversible data hiding aims at recovering exactly the cover image from the marked image after extracting the hidden data. Reversible data hiding with contrast enhancement proposed by Wu et al. achieved a good eff...
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Chapter and Conference Paper
Quality Assessment of Palm Vein Image Using Natural Scene Statistics
Image quality has a great influence on the performance of non-contact biometric identification system. In order to acquire palm vein image with high-quality, an image quality assessment algorithm for palm vein...
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Chapter and Conference Paper
Image Forgery Detection Based on Semantic Image Understanding
Image forensics has been focusing on low-level visual features, paying little attention to high-level semantic information of the image. In this work, we propose the framework for image forgery detection based...
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Chapter and Conference Paper
Reasoning about Semantic Web Services with an Approach Based on Temporal Description Logic
Temporal description logic ALC-LTL not only has considerable expressive power, but also extends the description capability of description logic from the static domain to the dynamic domain. In this paper, ALC-LTL...
