AIMC Journal:
Radiology
Showing 221 to 230 of 374 articles
The RSNA Pediatric Bone Age Machine Learning Challenge.
Radiology
Nov 27, 2018
Purpose The Radiological Society of North America (RSNA) Pediatric Bone Age Machine Learning Challenge was created to show an application of machine learning (ML) and artificial intelligence (AI) in medical imaging, promote collaboration to catalyze ...
Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.
Radiology
Nov 20, 2018
Purpose To compare breast cancer detection performance of radiologists reading mammographic examinations unaided versus supported by an artificial intelligence (AI) system. Materials and Methods An enriched retrospective, fully crossed, multireader, ...
Assessment of Convolutional Neural Networks for Automated Classification of Chest Radiographs.
Radiology
Nov 13, 2018
Purpose To assess the ability of convolutional neural networks (CNNs) to enable high-performance automated binary classification of chest radiographs. Materials and Methods In a retrospective study, 216 431 frontal chest radiographs obtained between ...
Deep Learning for Triage of Chest Radiographs: Should Every Institution Train Its Own System?
Radiology
Nov 13, 2018
Radiomic versus Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI.
Radiology
Nov 13, 2018
Purpose To compare the diagnostic performance of radiomic analysis (RA) and a convolutional neural network (CNN) to radiologists for classification of contrast agent-enhancing lesions as benign or malignant at multiparametric breast MRI. Materials an...
Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network Learning.
Radiology
Nov 6, 2018
Purpose To examine Generative Visual Rationales (GVRs) as a tool for visualizing neural network learning of chest radiograph features in congestive heart failure (CHF). Materials and Methods A total of 103 489 frontal chest radiographs in 46 712 pati...
Humans
Neural Networks, Computer
Databases, Factual
Aged, 80 and over
Young Adult
Adult
Male
Female
Infant, Newborn
Aged
Radiographic Image Interpretation, Computer-Assisted
Child, Preschool
Heart Failure
Middle Aged
Child
Infant
Natriuretic Peptide, Brain
ROC Curve
Radiography, Thoracic
Adolescent
Thorax
A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using F-FDG PET of the Brain.
Radiology
Nov 6, 2018
Purpose To develop and validate a deep learning algorithm that predicts the final diagnosis of Alzheimer disease (AD), mild cognitive impairment, or neither at fluorine 18 (F) fluorodeoxyglucose (FDG) PET of the brain and compare its performance to t...
Deep Learning for MR Angiography: Automated Detection of Cerebral Aneurysms.
Radiology
Oct 23, 2018
Purpose To develop and evaluate a supportive algorithm using deep learning for detecting cerebral aneurysms at time-of-flight MR angiography to provide a second assessment of images already interpreted by radiologists. Materials and Methods MR images...
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