AIMC Topic: Image Interpretation, Computer-Assisted

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Femur segmentation in DXA imaging using a machine learning decision tree.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Accurate measurement of bone mineral density (BMD) in dual-energy X-ray absorptiometry (DXA) is essential for proper diagnosis of osteoporosis. Calculation of BMD requires precise bone segmentation and subtraction of soft tissue absorptio...
Absorptiometry, Photon Femur Humans Decision Trees Machine Learning Image Interpretation, Computer-Assisted Osteoporosis
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Deep Learning Role in Early Diagnosis of Prostate Cancer.

Technology in cancer research & treatment Jan 1, 2018
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted ma...
Male Deep Learning ROC Curve Image Interpretation, Computer-Assisted Diffusion Magnetic Resonance Imaging Early Detection of Cancer Prostatic Neoplasms Algorithms Reproducibility of Results Sensitivity and Specificity Humans
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Diabetic macular edema grading in retinal images using vector quantization and semi-supervised learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Diabetic macular edema (DME) is one of the severe complication of diabetic retinopathy causing severe vision loss and leads to blindness in severe cases if left untreated.
Severity of Illness Index Supervised Machine Learning Macular Edema Humans Diabetic Retinopathy Sensitivity and Specificity Image Interpretation, Computer-Assisted Exudates and Transudates
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Retinal Lesion Detection With Deep Learning Using Image Patches.

Investigative ophthalmology & visual science Jan 1, 2018
PURPOSE: To develop an automated method of localizing and discerning multiple types of findings in retinal images using a limited set of training data without hard-coded feature extraction as a step toward generalizing these methods to rare disease d...
Neural Networks, Computer Machine Learning Algorithms Reproducibility of Results Humans Exudates and Transudates Retinal Diseases ROC Curve Probability Image Interpretation, Computer-Assisted
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[Not Available].

Praxis Jan 1, 2018
Medical Records Systems, Computerized Machine Learning Algorithms Neural Networks, Computer Forecasting Switzerland Diagnosis, Computer-Assisted Image Interpretation, Computer-Assisted Diagnostic Imaging
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Automated System for Referral of Cotton-Wool Spots.

Current diabetes reviews Jan 1, 2018
BACKGROUND: Cotton-wool spots also referred as soft exudates are the early signs of complications in the eye fundus of the patients suffering from diabetic retinopathy. Early detection of exudates helps in the diagnosis of the disease and provides be...
Artificial Intelligence Exudates and Transudates Photography Sensitivity and Specificity Retinal Drusen Humans Retinal Vessels ROC Curve Diabetic Retinopathy Fundus Oculi Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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Linear-regression convolutional neural network for fully automated coronary lumen segmentation in intravascular optical coherence tomography.

Journal of biomedical optics Dec 1, 2017
Intravascular optical coherence tomography (OCT) is an optical imaging modality commonly used in the assessment of coronary artery diseases during percutaneous coronary intervention. Manual segmentation to assess luminal stenosis from OCT pullback sc...
Tomography, Optical Coherence Image Interpretation, Computer-Assisted Linear Models Coronary Vessels Endovascular Procedures Humans Aged Male Middle Aged Neural Networks, Computer Algorithms Female
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When Machines Think: Radiology's Next Frontier.

Radiology Dec 1, 2017
Artificial intelligence (AI), machine learning, and deep learning are terms now seen frequently, all of which refer to computer algorithms that change as they are exposed to more data. Many of these algorithms are surprisingly good at recognizing obj...
Humans Machine Learning Image Interpretation, Computer-Assisted Pattern Recognition, Automated Decision Support Systems, Clinical Software Diagnostic Imaging Algorithms Radiology Forecasting
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Machine Learning Approaches in Cardiovascular Imaging.

Circulation. Cardiovascular imaging Oct 1, 2017
Cardiovascular imaging technologies continue to increase in their capacity to capture and store large quantities of data. Modern computational methods, developed in the field of machine learning, offer new approaches to leveraging the growing volume ...
Prognosis Humans Workflow Severity of Illness Index Reproducibility of Results Image Interpretation, Computer-Assisted Predictive Value of Tests Machine Learning Cardiovascular Diseases Automation Diagnostic Imaging Algorithms
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[Computational neuroanatomy and microstructure imaging using magnetic resonance imaging].

Der Nervenarzt Aug 1, 2017
BACKGROUND: Current computational neuroanatomy focuses on morphological measurements of the brain using standard magnetic resonance imaging (MRI) techniques. In comparison quantitative MRI (qMRI) typically provides a better tissue contrast and also g...
Brain Mapping Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Quantitative Structure-Activity Relationship Magnetic Resonance Imaging Humans White Matter Models, Neurological Artificial Intelligence Biophysical Phenomena Brain Neuroanatomy
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