AIMC Journal:
IEEE journal of biomedical and health informatics

Showing 661 to 670 of 1116 articles

Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach.

IEEE journal of biomedical and health informatics Jul 27, 2021
Landmark labeling in 3D head surfaces is an important and routine task in clinical practice to evaluate head shape, namely to analyze cranial deformities or growth evolution. However, manual labeling is still applied, being a tedious and time-consumi...
Anthropometry Head Humans Deep Learning Imaging, Three-Dimensional
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Modeling Texture in Deep 3D CNN for Survival Analysis.

IEEE journal of biomedical and health informatics Jul 27, 2021
Radiomics has shown remarkable potential for predicting the survival outcome for various types of cancers such as pancreatic ductal adenocarcinoma (PDAC). However, to date, there has been limited research using convolutional neural networks (CNN) wit...
Humans Neural Networks, Computer Tomography, X-Ray Computed Area Under Curve Neoadjuvant Therapy Survival Analysis
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Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data.

IEEE journal of biomedical and health informatics Jun 3, 2021
In the present epidemic of the coronavirus disease 2019 (COVID-19), radiological imaging modalities, such as X-ray and computed tomography (CT), have been identified as effective diagnostic tools. However, the subjective assessment of radiographic ex...
Tomography, X-Ray Computed Neural Networks, Computer Diagnosis, Computer-Assisted Deep Learning COVID-19 SARS-CoV-2 Humans
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Lung Lesion Localization of COVID-19 From Chest CT Image: A Novel Weakly Supervised Learning Method.

IEEE journal of biomedical and health informatics Jun 3, 2021
Chest computed tomography (CT) image data is necessary for early diagnosis, treatment, and prognosis of Coronavirus Disease 2019 (COVID-19). Artificial intelligence has been tried to help clinicians in improving the diagnostic accuracy and working ef...
Tomography, X-Ray Computed Reproducibility of Results Humans COVID-19 Supervised Machine Learning SARS-CoV-2 Datasets as Topic Lung
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Integration of CNN, CBMIR, and Visualization Techniques for Diagnosis and Quantification of Covid-19 Disease.

IEEE journal of biomedical and health informatics Jun 3, 2021
Diagnosis techniques based on medical image modalities have higher sensitivities compared to conventional RT-PCT tests. We propose two methods for diagnosing COVID-19 disease using X-ray images and differentiating it from viral pneumonia. The diagnos...
Algorithms SARS-CoV-2 Lung Radiography, Thoracic Neural Networks, Computer COVID-19 Humans
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Gaining Insights Into Patient Satisfaction Through Interpretable Machine Learning.

IEEE journal of biomedical and health informatics Jun 3, 2021
Patient satisfaction is a key performance indicator of patient-centered care and hospital reimbursement. To discover the major factors that affect patient experiences is considered as an effective way to formulate corrective actions. A patient during...
Female Health Personnel Surveys and Questionnaires Humans Male Patient Satisfaction Electronic Health Records Machine Learning
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Deep Learning-Based End-to-End Diagnosis System for Avascular Necrosis of Femoral Head.

IEEE journal of biomedical and health informatics Jun 3, 2021
As the first diagnostic imaging modality of avascular necrosis of the femoral head (AVNFH), accurately staging AVNFH from a plain radiograph is critical yet challenging for orthopedists. Thus, we propose a deep learning-based AVNFH diagnosis system (...
Radiography Femur Head Femur Head Necrosis Prospective Studies Humans Deep Learning
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Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning.

IEEE journal of biomedical and health informatics Jun 3, 2021
In 2019, outbreaks of vaccine-preventable diseases reached the highest number in the US since 1992. Medical misinformation, such as antivaccine content propagating through social media, is associated with increases in vaccine delay and refusal. Our o...
Deep Learning Social Media Communication Public Health Humans
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Deep Feature Representations for Variable-Sized Regions of Interest in Breast Histopathology.

IEEE journal of biomedical and health informatics Jun 3, 2021
OBJECTIVE: Modeling variable-sized regions of interest (ROIs) in whole slide images using deep convolutional networks is a challenging task, as these networks typically require fixed-sized inputs that should contain sufficient structural and contextu...
Breast Humans Neural Networks, Computer
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Design Comorbidity Portfolios to Improve Treatment Cost Prediction of Asthma Using Machine Learning.

IEEE journal of biomedical and health informatics Jun 3, 2021
Comorbidity is an important factor to consider when trying to predict the cost of treating asthma patients. When an asthmatic patient suffered from comorbidity, the cost of treating such a patient becomes dependent on the nature of the comorbidity. T...
Humans Health Care Costs Asthma Comorbidity Neural Networks, Computer Machine Learning
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