16 Result(s)
within
Mingzhao **e
Computer Science
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Article
CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images
Thyroid nodule (TYN) is a life-threatening disease that is commonly observed among adults globally. The applications of deep learning in computer-aided diagnosis systems (CADs) for diagnosing thyroid nodules h...
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Chapter and Conference Paper
PalmKeyNet: Palm Template Protection Based on Multi-modal Shared Key
The distinct ridge features of palmvein and palmprint images, among other palm-related images, make them vulnerable to reversible attacks that can reconstruct the original structure, leading to permanent leaka...
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Article
The nnU-Net based method for automatic segmenting fetal brain tissues
The magnetic resonance (MR) images of fetuses make it possible for doctors to detect out pathological fetal brains in early stages. Brain tissue segmentation is prerequisite for making brain morphology and vol...
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Article
Unsupervised spectral feature selection algorithms for high dimensional data
It is a significant and challenging task to detect the informative features to carry out explainable analysis for high dimensional data, especially for those with very small number of samples. Feature selectio...
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Chapter and Conference Paper
The Differential Gene Detecting Method for Identifying Leukemia Patients
Leukemia is one of the cancers threatening human being for many years. There has not been any general method for identifying acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) accurately. This...
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Article
Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model
This paper proposed the application of a combinatorial model of machine learning to patent quality classification and forecasting in the biomedical industry. The model consists of three methods: Self-Organizin...
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Chapter and Conference Paper
High-Resolution Source Estimation of Volcanic Sulfur Dioxide Emissions Using Large-Scale Transport Simulations
High-resolution reconstruction of emission rates from different sources is essential to achieve accurate simulations of atmospheric transport processes. How to achieve real-time forecasts of atmospheric transp...
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Chapter and Conference Paper
Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseases
Extreme learning machine based features selection algorithms are proposed in this paper for diagnosing erythemato-squamous diseases. The algorithms adopt the traditional ELM (extreme learning machine), EM-ELM ...
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Chapter and Conference Paper
A Visualization System for Dynamic Protein Structure and Amino Acid Network
In this paper, we design and implement a visual analytics system to visualize dynamic protein structure and amino acid network. Specifically, we propose a mixed layout method based on Force-Directed Algorithm ...
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Chapter and Conference Paper
An Enhanced Transportation Mode Detection Method Based on GPS Data
Understanding meaningful information such as transportation mode (e.g., walking, bus) from Global Positioning System (GPS) data has great advantages in urban management and environmental protection. However, t...
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Chapter and Conference Paper
Modeling Temporal Behavior to Identify Potential Experts in Question Answering Communities
Question answering (Q&A) communities are becoming important repositories of crowd-generated knowledge. The success of these communities mainly depends on the contribution of experts, who provide a significant ...
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Chapter and Conference Paper
Differential Feature Recognition of Breast Cancer Patients Based on Minimum Spanning Tree Clustering and F-statistics
The differential feature recognition algorithm of breast cancer patients is presented in this paper based on minimum spanning tree (MST) and F-statistics. The algorithm uses the minimum spanning tree clusterin...
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Chapter and Conference Paper
Visualization-Aided Exploration of the Real Estate Data
An efficient analysis of the real estate data is critical for buyers to understand the real estate market and seek appropriate properties to live in or rent. In this paper, we first collect data from different...
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Chapter and Conference Paper
Coordinating Discernibility and Independence Scores of Variables in a 2D Space for Efficient and Accurate Feature Selection
Feature selection is to remove redundant and irrelevant features from original ones of exemplars, so that a sparse and representative feature subset can be detected for building a more efficient and accurate c...
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Chapter and Conference Paper
Identifying Transportation Modes from Raw GPS Data
Raw Global Positioning System (GPS) data can provide rich context information for behaviour understanding and transport planning. However, they are not yet fully understood, and fine-grained identification of ...
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Chapter and Conference Paper
A Mobile Log Data Analysis System Based on Multidimensional Data Visualization
The log data collected from mobile telecom services contains plenty of valuable information. The critical technical challenges to mobile log analysis include how to extract information from unformatted raw dat...
