AIMC Topic:
Image Interpretation, Computer-Assisted

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Melanoma diagnosis using deep learning techniques on dermatoscopic images.

BMC medical imaging Jan 6, 2021
BACKGROUND: Melanoma has become more widespread over the past 30 years and early detection is a major factor in reducing mortality rates associated with this type of skin cancer. Therefore, having access to an automatic, reliable system that is able ...
Humans Deep Learning ROC Curve Image Interpretation, Computer-Assisted Melanoma Skin Neoplasms Dermoscopy
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FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy.

BioMed research international Jan 2, 2021
Diabetic retinopathy is one of the main causes of blindness in human eyes, and lesion segmentation is an important basic work for the diagnosis of diabetic retinopathy. Due to the small lesion areas scattered in fundus images, it is laborious to segm...
Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Diabetic Retinopathy Deep Learning Retina Humans
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Evaluation of Artificial Intelligence-Powered Identification of Large-Vessel Occlusions in a Comprehensive Stroke Center.

AJNR. American journal of neuroradiology Dec 31, 2020
BACKGROUND AND PURPOSE: Artificial intelligence algorithms have the potential to become an important diagnostic tool to optimize stroke workflow. Viz LVO is a medical product leveraging a convolutional neural network designed to detect large-vessel o...
Humans Cerebrovascular Disorders Image Interpretation, Computer-Assisted Aged Mobile Applications Computed Tomography Angiography Neural Networks, Computer Male Predictive Value of Tests Retrospective Studies Middle Aged Stroke Female
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Developing a Qualification and Verification Strategy for Digital Tissue Image Analysis in Toxicological Pathology.

Toxicologic pathology Dec 29, 2020
Digital tissue image analysis is a computational method for analyzing whole-slide images and extracting large, complex, and quantitative data sets. However, as with any analysis method, the quality of generated results is dependent on a well-designed...
Microscopy Artificial Intelligence Image Interpretation, Computer-Assisted Humans Software Image Processing, Computer-Assisted
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A Head-to Head Comparison of Machine Learning Algorithms for Identification of Implanted Cardiac Devices.

The American journal of cardiology Dec 29, 2020
Application of artificial intelligence techniques in medicine has rapidly expanded in recent years. Two algorithms for identification of cardiac implantable electronic devices using chest radiography were recently developed: The PacemakerID algorithm...
Humans Neural Networks, Computer Machine Learning Algorithms Image Interpretation, Computer-Assisted Radiography, Thoracic Defibrillators, Implantable Pacemaker, Artificial
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Deep Learning for Classification of Pediatric Otitis Media.

The Laryngoscope Dec 28, 2020
OBJECTIVES/HYPOTHESIS: To create a new strategy for monitoring pediatric otitis media (OM), we developed a brief, reliable, and objective method for automated classification using convolutional neural networks (CNNs) with images from otoscope.
Otoscopes Child Smartphone Image Interpretation, Computer-Assisted Otitis Media Deep Learning Diagnostic Self Evaluation Adolescent Otoscopy Humans Child, Preschool Prospective Studies Female Infant, Newborn Reproducibility of Results Male Infant
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Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network.

BioMed research international Dec 26, 2020
Content-based medical image retrieval (CBMIR) systems attempt to search medical image database to narrow the semantic gap in medical image analysis. The efficacy of high-level medical information representation using features is a major challenge in ...
Deep Learning Algorithms Diagnostic Imaging Information Storage and Retrieval Databases, Factual Humans Image Interpretation, Computer-Assisted Reproducibility of Results Neural Networks, Computer
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Automated Cerebral Hemorrhage Detection Using RAPID.

AJNR. American journal of neuroradiology Dec 24, 2020
BACKGROUND AND PURPOSE: Intracranial hemorrhage (ICH) is an important event that is diagnosed on head NCCT. Increased NCCT utilization in busy hospitals may limit timely identification of ICH. RAPID ICH is an automated hybrid 2D-3D convolutional neur...
Retrospective Studies Tomography, X-Ray Computed Female Humans Neural Networks, Computer Middle Aged Cerebral Hemorrhage Predictive Value of Tests Aged Adult Male Image Interpretation, Computer-Assisted Neuroimaging
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Spiculation Sign Recognition in a Pulmonary Nodule Based on Spiking Neural P Systems.

BioMed research international Dec 23, 2020
The spiculation sign is one of the main signs to distinguish benign and malignant pulmonary nodules. In order to effectively extract the image feature of a pulmonary nodule for the spiculation sign distinguishment, a new spiculation sign recognition ...
Solitary Pulmonary Nodule Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Algorithms Lung Lung Neoplasms
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Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.

IEEE transactions on cybernetics Dec 22, 2020
Alzheimer's disease (AD) is a neurodegenerative disease with an irreversible and progressive process. To understand the brain functions and identify the biomarkers of AD and early stages of the disease [also known as, mild cognitive impairment (MCI)]...
Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Neural Networks, Computer Humans Alzheimer Disease Brain Image Interpretation, Computer-Assisted Disease Progression
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