AIMC Topic: Deep Learning

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Precision and Robust Models on Healthcare Institution Federated Learning for Predicting HCC on Portal Venous CT Images.

IEEE journal of biomedical and health informatics Aug 6, 2024
Hepatocellular carcinoma (HCC), the most common type of liver cancer, poses significant challenges in detection and diagnosis. Medical imaging, especially computed tomography (CT), is pivotal in non-invasively identifying this disease, requiring subs...
Liver Neoplasms Carcinoma, Hepatocellular Portal Vein Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Deep Learning Humans Algorithms
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MPCNN: A Novel Matrix Profile Approach for CNN-based Single Lead Sleep Apnea in Classification Problem.

IEEE journal of biomedical and health informatics Aug 6, 2024
Sleep apnea (SA) is a significant respiratory condition that poses a major global health challenge. Deep Learning (DL) has emerged as an efficient tool for the classification problem in electrocardiogram (ECG)-based SA diagnoses. Despite these advanc...
Humans Signal Processing, Computer-Assisted Sleep Apnea Syndromes Deep Learning Electrocardiography Neural Networks, Computer Algorithms
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Cooperating Graph Neural Networks With Deep Reinforcement Learning for Vaccine Prioritization.

IEEE journal of biomedical and health informatics Aug 6, 2024
This study explores the vaccine prioritization strategy to reduce the overall burden of the pandemic when the supply is limited. Existing vaccine distribution methods focus on macro-level or simplified micro-level assuming homogeneous behavior within...
COVID-19 Vaccines SARS-CoV-2 Deep Learning Neural Networks, Computer COVID-19 Humans
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Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks.

IEEE journal of biomedical and health informatics Aug 6, 2024
Global single-valued biomarkers, such as ejection fraction, are widely used in clinical practice to assess cardiac function. However, they only approximate the heart's true 3D deformation process, thus limiting diagnostic accuracy and the understandi...
Myocardial Contraction Male Deep Learning Heart Models, Cardiovascular Imaging, Three-Dimensional Humans
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A Computational Framework for Predicting Novel Drug Indications Using Graph Convolutional Network With Contrastive Learning.

IEEE journal of biomedical and health informatics Aug 6, 2024
Inferring potential drug indications plays a vital role in the drug discovery process. It can be time-consuming and costly to discover novel drug indications through biological experiments. Recently, graph learning-based methods have gained popularit...
Neural Networks, Computer Machine Learning Humans Deep Learning Computational Biology Algorithms Drug Discovery
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Deep Learning Sequence Models for Transcriptional Regulation.

Annual review of genomics and human genetics Aug 6, 2024
Deciphering the regulatory code of gene expression and interpreting the transcriptional effects of genome variation are critical challenges in human genetics. Modern experimental technologies have resulted in an abundance of data, enabling the develo...
Humans Transcription, Genetic Gene Expression Regulation Genome, Human Deep Learning Epigenesis, Genetic
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Polygonal Approximation Learning for Convex Object Segmentation in Biomedical Images With Bounding Box Supervision.

IEEE journal of biomedical and health informatics Aug 6, 2024
As a common and critical medical image analysis task, deep learning based biomedical image segmentation is hindered by the dependence on costly fine-grained annotations. To alleviate this data dependence, in this article, a novel approach, called Pol...
Supervised Machine Learning Humans Deep Learning Image Processing, Computer-Assisted Algorithms
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DCNNLFS: A Dilated Convolutional Neural Network With Late Fusion Strategy for Intelligent Classification of Gastric Histopathology Images.

IEEE journal of biomedical and health informatics Aug 6, 2024
Gastric cancer has a high incidence rate, significantly threatening patients' health. Gastric histopathology images can reliably diagnose related diseases. Still, the data volume of histopathology images is too large, making misdiagnosis or missed di...
Neural Networks, Computer Algorithms Databases, Factual Humans Image Interpretation, Computer-Assisted Histocytochemistry Stomach Neoplasms Deep Learning Stomach
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A deep learning-based real-time hypothermia and hyperthermia monitoring system with a simple body sensor.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Aug 6, 2024
A real-time hypothermia and hyperthermia monitoring system with a simple body sensor based on a Convolutional Neural Network (CNN) is presented. The sensor is produced with 3D-printed thermochromic material. Due to the color change feature of thermoc...
Deep Learning Time Factors Humans Temperature Polyesters Monitoring, Physiologic Hypothermia Printing, Three-Dimensional Hyperthermia
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Prediction of PM concentration based on a CNN-LSTM neural network algorithm.

PeerJ Aug 6, 2024
Fine particulate matter (PM) is a major air pollutant affecting human survival, development and health. By predicting the spatial distribution concentration of PM, pollutant sources can be better traced, allowing measures to protect human health to b...
Algorithms Humans Deep Learning China Neural Networks, Computer Air Pollution Particulate Matter Environmental Monitoring Air Pollutants
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