AIMC Topic:
Image Interpretation, Computer-Assisted
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Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.
Radiology
Jun 25, 2019
Background Coronary CT angiography contains prognostic information but the best method to extract these data remains unknown. Purpose To use machine learning to develop a model of vessel features to discriminate between patients with and without subs...
Middle Aged
Severity of Illness Index
Predictive Value of Tests
Coronary Angiography
Coronary Artery Disease
Image Interpretation, Computer-Assisted
Coronary Vessels
Humans
Reproducibility of Results
Aged, 80 and over
Risk Factors
Machine Learning
Young Adult
Aged
Female
Adult
Male
Computed Tomography Angiography
Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment.
The British journal of radiology
Jun 24, 2019
OBJECTIVE: To investigate a fully automated abdominal CT-based muscle tool in a large adult screening population.
Enhanced classifier training to improve precision of a convolutional neural network to identify images of skin lesions.
PloS one
Jun 24, 2019
BACKGROUND: In recent months, multiple publications have demonstrated the use of convolutional neural networks (CNN) to classify images of skin cancer as precisely as dermatologists. However, these CNNs failed to outperform the International Symposiu...
A machine learning investigation of volumetric and functional MRI abnormalities in adults born preterm.
Human brain mapping
Jun 22, 2019
Imaging studies have characterized functional and structural brain abnormalities in adults after premature birth, but these investigations have mostly used univariate methods that do not account for hypothesized interdependencies between brain region...
Application of Deep Learning in Quantitative Analysis of 2-Dimensional Ultrasound Imaging of Nonalcoholic Fatty Liver Disease.
Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
Jun 20, 2019
OBJECTIVES: To verify the value of deep learning in diagnosing nonalcoholic fatty liver disease (NAFLD) by comparing 3 image-processing techniques.
Role of deep learning in infant brain MRI analysis.
Magnetic resonance imaging
Jun 20, 2019
Deep learning algorithms and in particular convolutional networks have shown tremendous success in medical image analysis applications, though relatively few methods have been applied to infant MRI data due numerous inherent challenges such as inhomo...
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.
NeuroImage
Jun 18, 2019
The specificity and sensitivity of resting state functional MRI (rs-fMRI) measurements depend on preprocessing choices, such as the parcellation scheme used to define regions of interest (ROIs). In this study, we critically evaluate the effect of bra...
The advent of AI and deep learning in diagnostics and imaging: Machine learning systems have potential to improve diagnostics in healthcare and imaging systems in research.
EMBO reports
Jun 17, 2019
Machine learning systems are increasingly applied in health care and the life sciences with great potential for cancer diagnostics and optical microscopy.
Self-supervised iterative refinement learning for macular OCT volumetric data classification.
Computers in biology and medicine
Jun 15, 2019
We present self-supervised iterative refinement learning (SIRL) as a pipeline to improve a type of macular optical coherence tomography (OCT) volumetric image classification algorithms. In this type of algorithms, first, two-dimensional (2D) image cl...
Automatic CIN Grades Prediction of Sequential Cervigram Image Using LSTM With Multistate CNN Features.
IEEE journal of biomedical and health informatics
Jun 13, 2019
Cervical cancer ranks as the second most common cancer in women worldwide. In clinical practice, colposcopy is an indispensable part of screening for cervical intraepithelial neoplasia (CIN) grades and cervical cancer but exhibits high misdiagnosis r...
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