AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 491 to 500 of 1087 articles

Biomedical Relation Extraction With Knowledge Graph-Based Recommendations.

IEEE journal of biomedical and health informatics Aug 11, 2022
Biomedical Relation Extraction (RE) systems identify and classify relations between biomedical entities to enhance our knowledge of biological and medical processes. Most state-of-the-art systems use deep learning approaches, mainly to target relatio...
Knowledge Bases Humans Pattern Recognition, Automated
View on PubMed DOI

Boundary Constraint Network With Cross Layer Feature Integration for Polyp Segmentation.

IEEE journal of biomedical and health informatics Aug 11, 2022
Clinically, proper polyp localization in endoscopy images plays a vital role in the follow-up treatment (e.g., surgical planning). Deep convolutional neural networks (CNNs) provide a favoured prospect for automatic polyp segmentation and evade the li...
Humans Image Processing, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

DeepCNAP: A Deep Learning Approach for Continuous Noninvasive Arterial Blood Pressure Monitoring Using Photoplethysmography.

IEEE journal of biomedical and health informatics Aug 11, 2022
Arterial blood pressure (ABP) monitoring may permit the early diagnosis and management of cardiovascular disease (CVD); however, existing methods for measuring ABP outside the clinic use inconvenient cuff sphygmomanometry, or do not estimate continuo...
Photoplethysmography Blood Pressure Determination Deep Learning Arterial Pressure Hypertension Blood Pressure Humans Prehypertension Hypotension
View on PubMed DOI

Dynamic Sepsis Prediction for Intensive Care Unit Patients Using XGBoost-Based Model With Novel Time-Dependent Features.

IEEE journal of biomedical and health informatics Aug 11, 2022
Sepsis is a systemic inflammatory response caused by pathogens such as bacteria. Because its pathogenesis is not clear, the clinical manifestations of patients vary greatly, and the alarming incidence and mortality pose a great threat to patients and...
Intensive Care Units Sepsis Critical Care Artificial Intelligence Machine Learning Humans
View on PubMed DOI

Self-Supervised Transfer Learning Based on Domain Adaptation for Benign-Malignant Lung Nodule Classification on Thoracic CT.

IEEE journal of biomedical and health informatics Aug 11, 2022
The spatial heterogeneity is an important indicator of the malignancy of lung nodules in lung cancer diagnosis. Compared with 2D nodule CT images, the 3D volumes with entire nodule objects hold richer discriminative information. However, for deep lea...
Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Lung Neoplasms Tomography, X-Ray Computed Lung
View on PubMed DOI

Automatic Coronary Artery Segmentation of CCTA Images With an Efficient Feature-Fusion-and-Rectification 3D-UNet.

IEEE journal of biomedical and health informatics Aug 11, 2022
Automatic coronary artery segmentation is of great value in diagnosing coronary disease. In this paper, we propose an automatic coronary artery segmentation method for coronary computerized tomography angiography (CCTA) images based on a deep convolu...
Coronary Artery Disease Image Processing, Computer-Assisted Coronary Angiography Tomography, X-Ray Computed Humans Neural Networks, Computer
View on PubMed DOI

Adaptive Multi-Modal Fusion Framework for Activity Monitoring of People With Mobility Disability.

IEEE journal of biomedical and health informatics Aug 11, 2022
The development of activity recognition based on multi-modal data makes it possible to reduce human intervention in the process of monitoring. This paper proposes an efficient and cost-effective multi-modal sensing framework for activity monitoring, ...
Monitoring, Physiologic Fitness Trackers Humans Neural Networks, Computer Algorithms
View on PubMed DOI

An Effective Semi-Supervised Approach for Liver CT Image Segmentation.

IEEE journal of biomedical and health informatics Aug 11, 2022
Despite the substantial progress made by deep networks in the field of medical image segmentation, they generally require sufficient pixel-level annotated data for training. The scale of training data remains to be the main bottleneck to obtain a bet...
Humans Algorithms Liver Supervised Machine Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
View on PubMed DOI

Robust Fovea Detection in Retinal OCT Imaging Using Deep Learning.

IEEE journal of biomedical and health informatics Aug 11, 2022
The fovea centralis is an essential landmark in the retina where the photoreceptor layer is entirely composed of cones responsible for sharp, central vision. The localization of this anatomical landmark in optical coherence tomography (OCT) volumes i...
Fovea Centralis Tomography, Optical Coherence Retina Diabetic Retinopathy Macular Edema Humans Deep Learning Retinal Diseases
View on PubMed DOI

DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living.

IEEE journal of biomedical and health informatics Aug 11, 2022
Measurement of human body movement is an essential step in biomechanical analysis. The current standard for human motion capture systems uses infrared cameras to track reflective markers placed on a subject. While these systems can accurately track j...
Neural Networks, Computer Biomechanical Phenomena Humans Ankle Joint Shoes Lower Extremity Gait
View on PubMed DOI
Popular Topics
Popular Journals