AIMC Topic: Humans

Showing 66091 to 66100 of 95995 articles
Clear Filters

Feature Boosting Network For 3D Pose Estimation.

IEEE transactions on pattern analysis and machine intelligence Jan 22, 2019
In this paper, a feature boosting network is proposed for estimating 3D hand pose and 3D body pose from a single RGB image. In this method, the features learned by the convolutional layers are boosted with a new long short-term dependence-aware (LSTD...
Humans Machine Learning Reproducibility of Results Imaging, Three-Dimensional Posture Hand
View on PubMed DOI

Intervening Nidal Brain Parenchyma and Risk of Radiation-Induced Changes After Radiosurgery for Brain Arteriovenous Malformation: A Study Using an Unsupervised Machine Learning Algorithm.

World neurosurgery Jan 22, 2019
OBJECTIVE: To assess the sensitivity and specificity of arteriovenous malformation (AVM) nidal component identification and quantification using an unsupervised machine learning algorithm and to evaluate the association between intervening nidal brai...
Radiation Injuries Intracranial Arteriovenous Malformations Parenchymal Tissue Child Unsupervised Machine Learning Radiosurgery Male Middle Aged Adolescent Humans Algorithms Prospective Studies Aged Young Adult Adult Brain Female Risk Factors
View on PubMed DOI

Automated Triaging of Adult Chest Radiographs.

Radiology Jan 22, 2019
Neural Networks, Computer Adult Radiography, Thoracic Humans
View on PubMed DOI

Early esophageal adenocarcinoma detection using deep learning methods.

International journal of computer assisted radiology and surgery Jan 22, 2019
PURPOSE: This study aims to adapt and evaluate the performance of different state-of-the-art deep learning object detection methods to automatically identify esophageal adenocarcinoma (EAC) regions from high-definition white light endoscopy (HD-WLE) ...
Deep Learning Adenocarcinoma Esophageal Neoplasms Humans Neural Networks, Computer Early Diagnosis Reproducibility of Results
View on PubMed DOI

Emerging Applications of Artificial Intelligence in Neuro-Oncology.

Radiology Jan 22, 2019
Due to the exponential growth of computational algorithms, artificial intelligence (AI) methods are poised to improve the precision of diagnostic and therapeutic methods in medicine. The field of radiomics in neuro-oncology has been and will likely c...
Brain Neoplasms Magnetic Resonance Imaging Radiology Precision Medicine Tumor Microenvironment Biomarkers, Tumor Humans Artificial Intelligence Algorithms
View on PubMed DOI

Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives.

Human genetics Jan 22, 2019
In the field of cancer genomics, the broad availability of genetic information offered by next-generation sequencing technologies and rapid growth in biomedical publication has led to the advent of the big-data era. Integration of artificial intellig...
Neoplasms Diagnosis, Computer-Assisted Genomics Humans Electronic Data Processing Precision Medicine Natural Language Processing Animals Data Mining
View on PubMed DOI

Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Radiology Reproducibility of Results Sensitivity and Specificity Lung Algorithms Humans Databases, Factual Tomography, X-Ray Computed
View on PubMed DOI

Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images.

NeuroImage. Clinical Jan 22, 2019
We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals. If so, seizure detecti...
Seizures Middle Aged Adult Scalp Deep Learning Child Humans Sensitivity and Specificity Epilepsies, Partial Adolescent Image Processing, Computer-Assisted Female Male Electroencephalography Young Adult
View on PubMed DOI

Deep Convolutional Neural Networks for Heart Sound Segmentation.

IEEE journal of biomedical and health informatics Jan 21, 2019
This paper studies the use of deep convolutional neural networks to segment heart sounds into their main components. The proposed methods are based on the adoption of a deep convolutional neural network architecture, which is inspired by similar appr...
Neural Networks, Computer Algorithms Databases, Factual Humans Phonocardiography Signal Processing, Computer-Assisted Markov Chains Heart Sounds
View on PubMed DOI

Attention Residual Learning for Skin Lesion Classification.

IEEE transactions on medical imaging Jan 21, 2019
Automated skin lesion classification in dermoscopy images is an essential way to improve the diagnostic performance and reduce melanoma deaths. Although deep convolutional neural networks (DCNNs) have made dramatic breakthroughs in many image classif...
Humans Neural Networks, Computer Databases, Factual Skin Diseases Image Interpretation, Computer-Assisted Dermoscopy Signal Processing, Computer-Assisted Skin
View on PubMed DOI
Popular Topics
Recent Journals