AIMC Topic: Neural Networks, Computer

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Syn-Net: A Synchronous Frequency-Perception Fusion Network for Breast Tumor Segmentation in Ultrasound Images.

IEEE journal of biomedical and health informatics Mar 6, 2025
Accurate breast tumor segmentation in ultrasound images is a crucial step in medical diagnosis and locating the tumor region. However, segmentation faces numerous challenges due to the complexity of ultrasound images, similar intensity distributions,...
Female Breast Neoplasms Neural Networks, Computer Algorithms Humans Deep Learning Ultrasonography, Mammary Breast Image Interpretation, Computer-Assisted
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LUCF-Net: Lightweight U-Shaped Cascade Fusion Network for Medical Image Segmentation.

IEEE journal of biomedical and health informatics Mar 6, 2025
The performance of modern U-shaped neural networks for medical image segmentation has been significantly enhanced by incorporating Transformer layers. Although Transformer architectures are powerful at extracting global information, its ability to ca...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Databases, Factual Tomography, X-Ray Computed Neural Networks, Computer Algorithms
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OMS-CNN: Optimized Multi-Scale CNN for Lung Nodule Detection Based on Faster R-CNN.

IEEE journal of biomedical and health informatics Mar 6, 2025
The global increase in lung cancer cases, often marked by pulmonary nodules, underscores the critical importance of timely detection to mitigate cancer progression and reduce morbidity and mortality. The Faster R-CNN approach is a two-stage, high-pre...
Lung Lung Neoplasms Algorithms Radiographic Image Interpretation, Computer-Assisted Humans Tomography, X-Ray Computed Solitary Pulmonary Nodule Neural Networks, Computer
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NPENN: A Noise Perturbation Ensemble Neural Network for Microbiome Disease Phenotype Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
With advances in microbiomics, the crucial role of microbes in disease progression is increasingly recognized. However, predicting disease phenotypes using microbiome data remains challenging due to data complexity, heterogeneity, and limited model g...
Neural Networks, Computer Phenotype Humans Computational Biology Microbiota
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CDAF-Net: A Contextual Contrast Detail Attention Feature Fusion Network for Low-Dose CT Denoising.

IEEE journal of biomedical and health informatics Mar 6, 2025
Low-dose computed tomography (LDCT) is a specialized CT scan with a lower radiation dose than normal-dose CT. However, the reduced radiation dose can introduce noise and artifacts, affecting diagnostic accuracy. To enhance the LDCT image quality, we ...
Signal-To-Noise Ratio Tomography, X-Ray Computed Humans Animals Neural Networks, Computer Algorithms Swine Image Processing, Computer-Assisted Radiation Dosage
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EEG-Deformer: A Dense Convolutional Transformer for Brain-Computer Interfaces.

IEEE journal of biomedical and health informatics Mar 6, 2025
Effectively learning the temporal dynamics in electroencephalogram (EEG) signals is challenging yet essential for decoding brain activities using brain-computer interfaces (BCIs). Although Transformers are popular for their long-term sequential learn...
Brain-Computer Interfaces Young Adult Adult Electroencephalography Signal Processing, Computer-Assisted Male Neural Networks, Computer Brain Humans
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REI-Net: A Reference Electrode Standardization Interpolation Technique Based 3D CNN for Motor Imagery Classification.

IEEE journal of biomedical and health informatics Mar 6, 2025
High-quality scalp EEG datasets are extremely valuable for motor imagery (MI) analysis. However, due to electrode size and montage, different datasets inevitably experience channel information loss, posing a significant challenge for MI decoding. A 2...
Neural Networks, Computer Algorithms Humans Electroencephalography Signal Processing, Computer-Assisted Electrodes Adult Male Brain-Computer Interfaces Imagination
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DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
Molecular property prediction is a key component of AI-driven drug discovery and molecular characterization learning. Despite recent advances, existing methods still face challenges such as limited ability to generalize, and inadequate representation...
Drug Discovery Molecular Structure Graph Neural Networks Neural Networks, Computer Algorithms
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Drug Repositioning via Multi-View Representation Learning With Heterogeneous Graph Neural Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
Exploring simple and efficient computational methods for drug repositioning has emerged as a popular and compelling topic in the realm of comprehensive drug development. The crux of this technology lies in identifying potential drug-disease associati...
Drug Repositioning Graph Neural Networks Algorithms Computational Biology Humans Neural Networks, Computer
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Knowledge Graph Neural Network With Spatial-Aware Capsule for Drug-Drug Interaction Prediction.

IEEE journal of biomedical and health informatics Mar 6, 2025
Uncovering novel drug-drug interactions (DDIs) plays a pivotal role in advancing drug development and improving clinical treatment. The outstanding effectiveness of graph neural networks (GNNs) has garnered significant interest in the field of DDI pr...
Humans Computational Biology Drug Interactions Neural Networks, Computer Graph Neural Networks Algorithms
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