AIMC Topic: Neural Networks, Computer

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Application of high resolution computed tomography image assisted classification model of middle ear diseases based on 3D-convolutional neural network.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
OBJECTIVES: Chronic suppurative otitis media (CSOM) and middle ear cholesteatoma (MEC) are the 2 most common chronic middle ear diseases. In the process of diagnosis and treatment, the 2 diseases are prone to misdiagnosis and missed diagnosis due to ...

CNGOD-An improved convolution neural network with grasshopper optimization for detection of COVID-19.

Mathematical biosciences and engineering : MBE
The world is facing the pandemic situation due to a beta corona virus named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The disease caused by this virus known as Corona Virus Disease 2019 (COVID-19) has affected the entire world. Th...

Automatic arrhythmia detection with multi-lead ECG signals based on heterogeneous graph attention networks.

Mathematical biosciences and engineering : MBE
Automatic arrhythmia detection is very important for cardiovascular health. It is generally performed by measuring the electrocardiogram (ECG) signals of standard multiple leads. However, the correlations of multiple leads are often ignored. In addit...

Nonlinear manipulation and analysis of large DNA datasets.

Nucleic acids research
Information processing functions are essential for organisms to perceive and react to their complex environment, and for humans to analyze and rationalize them. While our brain is extraordinary at processing complex information, winner-take-all, as a...

[Lung parenchyma segmentation based on double scale parallel attention network].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
[]Automatic and accurate segmentation of lung parenchyma is essential for assisted diagnosis of lung cancer. In recent years, researchers in the field of deep learning have proposed a number of improved lung parenchyma segmentation methods based on U...

[Application and progress of artificial intelligence technology in gastric cancer diagnosis and treatment].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
Artificial intelligence (AI) is one of the most rapidly evolving fields in biomedicine during the past decade. Represented by radiomics, machine learning and deep neural network, AI has been increasingly favored by researchers due to its ability to o...

CED-Net: A more effective DenseNet model with channel enhancement.

Mathematical biosciences and engineering : MBE
In recent years, deep convolutional neural network (CNN) has been applied more and more increasingly used in computer vision, natural language processing and other fields. At the same time, low-power platforms have more and more significant requireme...

Physics-informed graph neural networks enhance scalability of variational nonequilibrium optimal control.

The Journal of chemical physics
When a physical system is driven away from equilibrium, the statistical distribution of its dynamical trajectories informs many of its physical properties. Characterizing the nature of the distribution of dynamical observables, such as a current or e...

Short-wave infrared polarimetric image reconstruction using a deep convolutional neural network based on a high-frequency correlation.

Applied optics
Imaging in visible and short-wave infrared (SWIR) wavebands is essential in most remote sensing applications. However, compared to visible imaging cameras, SWIR cameras typically have lower spatial resolution, which limits the detailed information sh...

Uneven wrapped phase pattern denoising using a deep neural network.

Applied optics
The wrapped phase patterns obtained from an object composed of different materials have uneven gray values. In this paper, we improve the dilated-blocks-based deep convolution neural network (DBDNet) and build a new dataset for restoring the uneven g...