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Article
Open AccessVisual interpretable MRI fine grading of meniscus injury for intelligent assisted diagnosis and treatment
Meniscal injury represents a common type of knee injury, accounting for over 50% of all knee injuries. The clinical diagnosis and treatment of meniscal injury heavily rely on magnetic resonance imaging (MRI). ...
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Article
Open AccessAdaptively Enhancing Facial Expression Crucial Regions via a Local Non-local Joint Network
Facial expression recognition (FER) is still challenging due to the small interclass discrepancy in facial expression data. In view of the significance of facial crucial regions for FER, many existing studies ...
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Article
Open AccessAgeing and degeneration analysis using ageing-related dynamic attention on lateral cephalometric radiographs
With the increase of the ageing in the world’s population, the ageing and degeneration studies of physiological characteristics in human skin, bones, and muscles become important topics. Research on the ageing...
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Chapter and Conference Paper
Spiking Neuron Network Based on VTEAM Memristor and MOSFET-LIF Neuron
Neuromorphic computing has been widely developed due to its low power consumption and powerful interpretability. LIF neurons, the general-purpose neurons in neuromorphic computing, are under constant research ...
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Chapter and Conference Paper
Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning
Segmentation of liver tumors plays an important role in the subsequent treatment of liver cancer. At present, the mainstream method is the fully supervised method based on deep learning, which requires medical...
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Chapter and Conference Paper
Spectral Clustering Based on Dictionary Learning Sampling for Image Segmentation
The classical spectral clustering spends much time on calculating similarity matrix and vectors. Nyström can be used to obtain approximate similarity matrix, which clustering results are unstable since randoml...
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Article
Clustering via dimensional reduction method for the projection pursuit based on the ICSA
The performance of the classical clustering algorithm is not always satisfied with the high-dimensional datasets, which make clustering method limited in many application. To solve this problem, clustering met...
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Chapter and Conference Paper
Quantum-Inspired Immune Clonal Algorithm for Multiuser Detection in DS-CDMA Systems
This paper proposes a new immune clonal algorithm, called a quantum-inspired immune clonal algorithm (QICA), which is based on the concept and principles of quantum computing, such as a quantum bit and superpo...
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Chapter and Conference Paper
Kernel Matching Pursuit Based on Immune Clonal Algorithm for Image Recognition
A method for object recognition of Kernel matching pursuits (KMP) [1] based on Immune Clonal algorithm (ICA) [2] is presented. Using the immune clonal select algorithm, which combines the global optimal search...
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Chapter and Conference Paper
Wavelet Kernel Matching Pursuit Machine
Kernel Matching Pursuit Machine is a relatively new learning algorithm utilizing Mercer kernels to produce non-linear version of conventional supervised and unsupervised learning algorithm. But the commonly us...
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Chapter and Conference Paper
A New Dictionary Learning Method for Kernel Matching Pursuit
This paper presents a method for dictionary training of Kernel matching pursuits (KMP) [1] applied in large size data classification. This algorithm uses the existing fuzzy clustering technique to design funct...
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Chapter and Conference Paper
Immune Multiobjective Optimization Algorithm for Unsupervised Feature Selection
A feature selection method for unsupervised learning is proposed. Unsupervised feature selection is considered as a combination optimization problem to search for the suitable feature subset and the pertinent ...
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Chapter and Conference Paper
Image Recognition Using Synergetic Neural Network
A method for texture image recognition using Synergetic Neural Network (SNN) [1] technique is presented. The method combines Immune Clonal Strategy (ICS) [2] with fuzzy clustering to train the prototype vector...
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Chapter and Conference Paper
SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming
A method for SAR image recognition algorithm is proposed, which makes use of the global optimal search ability and the quick local search ability of Immune Clonal Programming (ICP) [1] to obtain the prototype ...
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Chapter and Conference Paper
A New Approach to Unsupervised Image Segmentation Based on Wavelet-Domain Hidden Markov Tree Models
In this paper, a new unsupervised image segmentation scheme is presented, which combines wavelet-domain hidden Markov tree (HMT) model and possibilistic C-means (PCM) clustering algorithm. As an efficient soft...
