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Article
A novel transformer-based aggregation model for predicting gene mutations in lung adenocarcinoma
In recent years, predicting gene mutations on whole slide imaging (WSI) has gained prominence. The primary challenge is extracting global information and achieving unbiased semantic aggregation. To address thi...
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Article
Semi-supervised breast cancer pathology image segmentation based on fine-grained classification guidance
Breast cancer pathological image segmentation (BCPIS) holds significant value in assisting physicians with quantifying tumor regions and providing treatment guidance. However, achieving fine-grained semantic s...
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Article
Open AccessTCANet: three-stream coordinate attention network for RGB-D indoor semantic segmentation
Semantic segmentation plays a vital role in indoor scene analysis. Currently, its accuracy is still limited due to the complex conditions of various indoor scenes. In addition, it is difficult to complete this...
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Article
RBD-Net: robust breakage detection algorithm for industrial leather
For the sake of better achieving the productivity of leather damage detection in industrial production, this paper proposes a Robust Breakage Detection Network (RBD-Net) model for leather breakage detection. T...
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Article
Open AccessFeature dimensionality reduction: a review
As basic research, it has also received increasing attention from people that the “curse of dimensionality” will lead to increase the cost of data storage and computing; it also influences the efficiency and a...
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Article
RS-Net: robust segmentation of green overlapped apples
Fruit detection and segmentation will be essential for future agronomic management, with applications in yield estimation, growth monitoring, intelligent picking, disease detection and etc. In order to more ac...
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Article
An improved grid search algorithm to optimize SVR for prediction
Parameter optimization is an important step for support vector regression (SVR), since its prediction performance greatly depends on values of the related parameters. To solve the shortcomings of traditional g...
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Chapter and Conference Paper
Synthesis of Contrast-Enhanced Spectral Mammograms from Low-Energy Mammograms Using cGAN-Based Synthesis Network
Contrast-enhanced spectral mammography (CESM) is a valuable tool in the diagnosis and staging of primary breast cancer, for which it has an extremely high predictive value. However, the iodinated contrast medi...
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Article
A novel prediction method of complex univariate time series based on k-means clustering
Time-series prediction has been widely studied and applied in various fields. For the time series with high acquisition frequency and high noise, it is very difficult to establish a prediction model directly. ...
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Article
Ensemble Adaptation Networks with low-cost unsupervised hyper-parameter search
The development of deep learning makes the learning model have more parameters to be learned, and it means that sufficient samples are needed. On the other hand, it is extremely difficult to find tons of label...
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Article
Multiple birth support vector machine based on recurrent neural networks
Multiple birth support vector machine (MBSVM) is a new classification algorithm, which includes the advantages of low complexity and high computing efficiency. However, the traditional MBSVM does not take into...
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Article
Multimodality registration for ocular multispectral images via co-embedding
Image registration of sequential multispectral images plays a vital role in retinal image analysis, since the appearance of ocular tissues significantly relates to the diagnosis, treatment, and evaluation of v...
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Article
An adversarial non-volume preserving flow model with Boltzmann priors
Flow-based generative models (flow models) are conceptually attractive due to tractability of the exact log-likelihood and the exact latent-variable inference. In order to generate sharper images and extend th...
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Article
Even faster retinal vessel segmentation via accelerated singular value decomposition
Retinal blood vessel segmentation plays a vital role in medical image analysis since the appearance of vessels would contribute in the diagnosis, treatment, and evaluation for various diseases in ophthalmology...
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Article
Energy-based structural least squares MBSVM for classification
Multiple birth support vector machine (MBSVM) is an extension of twin support vector machine on multi-class classification problem. In MBSVM, the size of each QP problem is restricted by the number of patterns...
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Article
Active constraint spectral clustering based on Hessian matrix
Applying the pairwise constraint algorithm to spectral clustering has become a hot topic in data mining research in recent years. In this paper, a clustering algorithm is proposed, called an active constraint ...
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Article
A new asynchronous reinforcement learning algorithm based on improved parallel PSO
As an important machine learning method, reinforcement learning plays a more and more important role in practical application. In recent years, many scholars have studied parallel reinforcement learning algori...
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Article
An effective asynchronous framework for small scale reinforcement learning problems
Reinforcement learning is one of the research hotspots in the field of artificial intelligence in recent years. In the past few years, deep reinforcement learning has been widely used to solve various decision...
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Article
Automated recognition and discrimination of human–animal interactions using Fisher vector and hidden Markov model
Human–animal interactions may affect the animal welfare and productivity in rearing environments. Previously proposed human–animal-related techniques focus on the manual discrimination of single animal behavio...
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Article
A Reliable Small Sample Classification Algorithm by Elman Neural Network Based on PLS and GA
Aiming at the small sample with high-feature dimension and few numbers will cause a serious problem if simply using the traditional Elman neural network to deal with the small sample; these problems include po...
