AIMC Topic: Algorithms

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Dual-Channel Prototype Network for Few-Shot Pathology Image Classification.

IEEE journal of biomedical and health informatics Jul 2, 2024
In the field of pathology, the scarcity of certain diseases and the difficulty of annotating images hinder the development of large, high-quality datasets, which in turn affects the advancement of deep learning-assisted diagnostics. Few-shot learning...
Image Interpretation, Computer-Assisted Algorithms Humans Databases, Factual Neural Networks, Computer Deep Learning
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MAMLCDA: A Meta-Learning Model for Predicting circRNA-Disease Association Based on MAML Combined With CNN.

IEEE journal of biomedical and health informatics Jul 2, 2024
Circular RNAs (circRNAs) exist in vivo and are a class of noncoding RNA molecules. They have a single-stranded, closed, annular structure. Many studies have shown that circRNAs and diseases are linked. Therefore, it is critical to build a reliable an...
RNA, Circular Computational Biology Principal Component Analysis Humans Neural Networks, Computer Machine Learning Algorithms
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A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure.

IEEE journal of biomedical and health informatics Jul 2, 2024
Accurate prediction of small molecule modulators targeting protein-protein interactions (PPIMs) remains a significant challenge in drug discovery. Existing machine learning-based models rely on manual feature engineering, which is tedious and task-sp...
Neural Networks, Computer Algorithms Computational Biology Proteins Protein Interaction Mapping Drug Discovery Deep Learning Protein Interaction Maps
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Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology.

IEEE journal of biomedical and health informatics Jul 2, 2024
Histological images are frequently impaired by local artifacts from scanner malfunctions or iatrogenic processes - caused by preparation - impacting the performance of Deep Learning models. Models often struggle with the slightest out-of-distribution...
Artifacts Histocytochemistry Histological Techniques Deep Learning Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Algorithms
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GaitNet+ARL: A Deep Learning Algorithm for Interpretable Gait Analysis of Chronic Ankle Instability.

IEEE journal of biomedical and health informatics Jul 2, 2024
Chronic ankle instability (CAI) is a major public health concern and adversely affects people's mobility and quality of life. Traditional assessment methods are subjective and qualitative by means of clinician observation and patient self-reporting, ...
Deep Learning Chronic Disease Humans Gait Adult Gait Analysis Algorithms Female Biomechanical Phenomena Ankle Joint Male Young Adult Joint Instability
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Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks.

IEEE journal of biomedical and health informatics Jul 2, 2024
OBJECTIVE: wearable sensor technology has progressed significantly in the last decade, but its clinical usability for the assessment of obstructive sleep apnea (OSA) is limited by the lack of large and representative datasets simultaneously acquired ...
Sleep Apnea, Obstructive Polysomnography Sleep Stages Electrocardiography Signal Processing, Computer-Assisted Young Adult Adult Male Middle Aged Severity of Illness Index Algorithms Female Aged Humans Neural Networks, Computer
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Equivariant Line Graph Neural Network for Protein-Ligand Binding Affinity Prediction.

IEEE journal of biomedical and health informatics Jul 2, 2024
Binding affinity prediction of three-dimensional (3D) protein-ligand complexes is critical for drug repositioning and virtual drug screening. Existing approaches usually transform a 3D protein-ligand complex to a two-dimensional (2D) graph, and then ...
Computational Biology Proteins Ligands Neural Networks, Computer Algorithms Protein Binding
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MSDE-Net: A Multi-Scale Dual-Encoding Network for Surgical Instrument Segmentation.

IEEE journal of biomedical and health informatics Jul 2, 2024
Minimally invasive surgery, which relies on surgical robots and microscopes, demands precise image segmentation to ensure safe and efficient procedures. Nevertheless, achieving accurate segmentation of surgical instruments remains challenging due to ...
Surgical Instruments Algorithms Humans Image Processing, Computer-Assisted Neural Networks, Computer Minimally Invasive Surgical Procedures
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SMARTSeiz: Deep Learning With Attention Mechanism for Accurate Seizure Recognition in IoT Healthcare Devices.

IEEE journal of biomedical and health informatics Jul 2, 2024
The Internet of Things (IoT) is capable of controlling the healthcare monitoring system for remote-based patients. Epilepsy, a chronic brain syndrome characterized by recurrent, unpredictable attacks, affects individuals of all ages. IoT-based seizur...
Humans Signal Processing, Computer-Assisted Neural Networks, Computer Internet of Things Algorithms Epilepsy Deep Learning Seizures Electroencephalography
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Deep Learning-Enhanced Internet of Things for Activity Recognition in Post-Stroke Rehabilitation.

IEEE journal of biomedical and health informatics Jul 2, 2024
Wearable sensors provide a more effective means of activity monitoring and management by recording patients' daily activity data for assessing their daily function and rehabilitation progress, as well as providing a convenient and practical solution ...
Humans Internet of Things Human Activities Algorithms Stroke Rehabilitation Deep Learning Wearable Electronic Devices
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