32 Result(s)
within
English
Artificial Intelligence
Computational Biology/Bioinformatics
Dong-**ng Wang
Conference Paper
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Chapter and Conference Paper
Reciprocal Learning for Semi-supervised Segmentation
Semi-supervised learning has been recently employed to solve problems from medical image segmentation due to challenges in acquiring sufficient manual annotations, which is an important prerequisite for buildi...
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Chapter and Conference Paper
Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading
In recent years, there has been increasing awareness of the occurrence of fatigue fractures. Athletes and soldiers, who engaged in unaccustomed, repetitive or vigorous activities, are potential victims of such...
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Chapter and Conference Paper
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound
Standard plane recognition plays an important role in prenatal ultrasound (US) screening. Automatically recognizing the standard plane along with the corresponding anatomical structures in US image can not onl...
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Chapter and Conference Paper
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
Building robust deep learning-based models requires diverse training data, ideally from several sources. However, these datasets cannot be combined easily because of patient privacy concerns or regulatory hurd...
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Chapter and Conference Paper
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation
Computed tomography (CT) reconstruction from X-ray projections acquired within a limited angle range is challenging, especially when the angle range is extremely small. Both analytical and iterative models nee...
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Chapter and Conference Paper
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Rare diseases are characterized by low prevalence and are often chronically debilitating or life-threatening. Imaging-based classification of rare diseases is challenging due to the severe shortage in training...
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Chapter and Conference Paper
Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection Network
Automated breast ultrasound (ABUS) is a new and promising imaging modality for breast cancer detection and diagnosis, which could provide intuitive 3D information and coronal plane information with great diagn...
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Chapter and Conference Paper
Simulation of Complex Neural Firing Patterns Based on Improved Deterministic Chay Model
In this study, the deterministic Chay model is improved considering the K+ channel opening probability during the generation of the generation mechanism of action potential. It can not only simulate the periodic ...
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Chapter and Conference Paper
Classifying DNA Microarray for Cancer Diagnosis via Method Based on Complex Networks
Performing microarray expression data classification can improve the accuracy of a cancer diagnosis. The varying technique including Support Vector Machines (SVMs), Neuro-Fuzzy models (NF), K-Nearest Neighbor ...
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Chapter and Conference Paper
Prediction of Subcellular Localization of Multi-site Virus Proteins Based on Convolutional Neural Networks
Prediction of subcellular localization is critical for the analysis of mechanism and functions of proteins and biological research. A series of efficient methods have been proposed to identify subcellular loca...
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Chapter and Conference Paper
The Study on Grade Categorization Model of Question Based on on-Line Test Data
To tackle with the blindness of random questions choosing for exercise and test of the on-line learning system, this paper clusters questions exploiting various feature subsets and parameters via K-means. For...
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Chapter and Conference Paper
Identity Authentication Technology of Mobile Terminal Based on Cloud Face Recognition
The face recognition of mobile terminal plays an important role in the identity authentication technology. But there are some problems such as long detection time and low recognition rate due to the performanc...
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Chapter and Conference Paper
Improved Convolutional Neural Networks for Identifying Subcellular Localization of Gram-Negative Bacterial Proteins
Prediction of subcellular localization of Gram-negative bacterial proteins plays a vital role in the development of antibacterial drugs. Computational approaches have made remarkable progress in bacterial prot...
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Chapter and Conference Paper
Distributed Processing of Continuous Range Queries Over Moving Objects
With the widespread usage of wireless network and mobile devices, the scale of spatial-temporal data is dramatically increasing and a good deal of real world applications can be formulated as processing conti...
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Chapter and Conference Paper
Learning Bayesian Networks Structure Based Part Mutual Information for Reconstructing Gene Regulatory Networks
As a kind of high-precision correlation measurement method, Part Mutual Information (PMI) was firstly introduced into Bayesian Networks (BNs) structure learning algorithm in the paper. Compared to the general ...
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Chapter and Conference Paper
The Feature Extraction Method of EEG Signals Based on the Loop Coefficient of Transition Network
High accuracy of epilepsy EEG automatic detection has important clinical research significance. The combination of nonlinear time series analysis and complex network theory made it possible to analyze time ser...
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Chapter and Conference Paper
Global Adaptive and Local Scheduling Control for Smart Isolated Intersection Based on Real-Time Phase Saturability
Linking real-time phase saturability directly to the traffic signal control, the global adaptive control scheme for traffic light loop and the local scheduling control strategy for phase green time are propose...
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Chapter and Conference Paper
Predicting Multisite Protein Sub-cellular Locations Based on Correlation Coefficient
With the development of proteomics and cell biology, protein sub-cellular location has become a hot topic in bioinformatics. As the time goes on, more and more researchers make great efforts on studying protei...
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Chapter and Conference Paper
Safety Inter-vehicle Policy Based on the Longitudinal Dynamics Behaviors
The analysis of the safety inter-vehicle distance plays important roles for driving assistant system, which can give the warning signal to drivers timely. In order to provide the drivers a warning signal about...
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Chapter and Conference Paper
Using a Hierarchical Classification Model to Predict Protein Tertiary Structure
To predict protein tertiary structure accurately is helpful for understanding the functions of proteins. In this study, a hierarchical classification method based on flexible neural tree was proposed to predic...
