AIMC Topic: 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 Algorithms Lung Neoplasms Tomography, X-Ray Computed Humans Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Neural Networks, Computer
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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 ...
Humans Tomography, X-Ray Computed Neural Networks, Computer Swine Signal-To-Noise Ratio Algorithms Animals Radiation Dosage Image Processing, Computer-Assisted
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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...
Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Imagination Electrodes Adult Male Neural Networks, Computer Algorithms Humans
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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...
Graph Neural Networks Neural Networks, Computer Algorithms Drug Discovery Molecular Structure
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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...
Humans Algorithms Computational Biology Drug Repositioning Neural Networks, Computer Graph Neural Networks
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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...
Algorithms Computational Biology Graph Neural Networks Drug Interactions Humans Neural Networks, Computer
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Multimodal Drug Target Binding Affinity Prediction Using Graph Local Substructure.

IEEE journal of biomedical and health informatics Mar 6, 2025
Predicting the binding affinity of drug target is essential to reduce drug development costs and cycles. Recently, several deep learning-based methods have been proposed to utilize the structural or sequential information of drugs and targets to pred...
Deep Learning Protein Binding Algorithms Drug Discovery Pharmaceutical Preparations Computational Biology Proteins Humans
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Property-Guided Few-Shot Learning for Molecular Property Prediction With Dual-View Encoder and Relation Graph Learning Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
Molecular property prediction is an important task in drug discovery. However, experimental data for many drug molecules are limited, especially for novel molecular structures or rare diseases which affect the accuracy of many deep learning methods t...
Humans Machine Learning Deep Learning Algorithms Drug Discovery
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DRGCL: Drug Repositioning via Semantic-Enriched Graph Contrastive Learning.

IEEE journal of biomedical and health informatics Mar 6, 2025
Drug repositioning greatly reduces drug development costs and time by discovering new indications for existing drugs. With the development of technology and large-scale biological databases, computational drug repositioning has increasingly attracted...
Drug Repositioning Semantics Neural Networks, Computer Machine Learning Humans Databases, Factual Algorithms Computational Biology
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Semantic-Enhanced Graph Contrastive Learning With Adaptive Denoising for Drug Repositioning.

IEEE journal of biomedical and health informatics Mar 6, 2025
The traditional drug development process requires a significant investment in workforce and financial resources. Drug repositioning as an efficient alternative has attracted much attention during the last few years. Despite the wide application and s...
Humans Algorithms Deep Learning Drug Repositioning Semantics Databases, Factual Machine Learning
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