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Organ Size

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Artificial Neural Network for the Prediction of Chromosomal Abnormalities in Azoospermic Males.

Urology journal May 3, 2018
PURPOSE: To evaluate whether an artifical neural network helps to diagnose any chromosomal abnormalities in azoospermic males.
Adult Male Testosterone Testis Humans Neural Networks, Computer Models, Biological Retrospective Studies Luteinizing Hormone Body Height Chromosome Aberrations Organ Size Semen Azoospermia Follicle Stimulating Hormone
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Predicting individual responses to the electroconvulsive therapy with hippocampal subfield volumes in major depression disorder.

Scientific reports Apr 3, 2018
Electroconvulsive therapy (ECT) is one of the most effective treatments for major depression disorder (MDD). ECT can induce neurogenesis and synaptogenesis in hippocampus, which contains distinct subfields, e.g., the cornu ammonis (CA) subfields, a g...
Female Adult Male Humans Depressive Disorder, Major Treatment Outcome Machine Learning Organ Size Hippocampus Electroconvulsive Therapy
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Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease.

Scientific reports May 17, 2017
Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common inherited disorder of the kidneys. It is characterized by enlargement of the kidneys caused by progressive development of renal cysts, and thus assessment of total kidney volume ...
Humans Adult Male Middle Aged Deep Learning Tomography, X-Ray Computed Female Reproducibility of Results Aged Image Processing, Computer-Assisted Kidney Glomerular Filtration Rate Organ Size Polycystic Kidney, Autosomal Dominant
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Automatic Estimation of Volumetric Breast Density Using Artificial Neural Network-Based Calibration of Full-Field Digital Mammography: Feasibility on Japanese Women With and Without Breast Cancer.

Journal of digital imaging Apr 1, 2017
Breast cancer is the most common invasive cancer among women and its incidence is increasing. Risk assessment is valuable and recent methods are incorporating novel biomarkers such as mammographic density. Artificial neural networks (ANN) are adaptiv...
Japan Calibration Breast Density Organ Size Breast Feasibility Studies Humans Neural Networks, Computer Retrospective Studies Female Reproducibility of Results Breast Neoplasms Mammography
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Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.

International journal of computer assisted radiology and surgery Feb 1, 2017
PURPOSE: Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Lung Diseases Automation Thorax Bronchi Image Processing, Computer-Assisted Support Vector Machine Lung Bronchoscopy Diagnosis, Computer-Assisted Organ Size Imaging, Three-Dimensional
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Automatic 3D liver location and segmentation via convolutional neural network and graph cut.

International journal of computer assisted radiology and surgery Feb 1, 2017
PURPOSE: Segmentation of the liver from abdominal computed tomography (CT) images is an essential step in some computer-assisted clinical interventions, such as surgery planning for living donor liver transplant, radiotherapy and volume measurement. ...
Imaging, Three-Dimensional Abdomen Liver Organ Size Neural Networks, Computer Algorithms Databases, Factual Tomography, X-Ray Computed Humans
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Learning-based subject-specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies.

Human brain mapping Nov 1, 2016
Longitudinal neuroimaging analysis of the dynamic brain development in infants has received increasing attention recently. Many studies expect a complete longitudinal dataset in order to accurately chart the brain developmental trajectories. However,...
Regression Analysis Organ Size Neuroimaging Cerebral Cortex Image Processing, Computer-Assisted Longitudinal Studies Magnetic Resonance Imaging Humans Machine Learning Infant Child, Preschool
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An automated bladder volume measurement algorithm by pixel classification using random forests.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Residual bladder volume measurement is a very important marker for patients with urinary retention problems. To be able to monitor patients with these conditions at the bedside by nurses or in an out patient setting by general physicians, hand held u...
Urinary Bladder Image Processing, Computer-Assisted Organ Size Humans Algorithms Ultrasonography Pattern Recognition, Automated Urinary Retention
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Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation.

Medical image analysis May 1, 2016
Direct estimation of cardiac ventricular volumes has become increasingly popular and important in cardiac function analysis due to its effectiveness and efficiency by avoiding an intermediate segmentation step. However, existing methods rely on eithe...
Organ Size Humans Heart Ventricles Image Enhancement Image Interpretation, Computer-Assisted Neural Networks, Computer Stroke Volume Machine Learning Ventricular Dysfunction Pattern Recognition, Automated Imaging, Three-Dimensional Algorithms Regression Analysis Reproducibility of Results Sensitivity and Specificity
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Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context.

International journal of computer assisted radiology and surgery Jan 1, 2016
PURPOSE: To constrain the risk of severe toxicity in radiotherapy and radiosurgery, precise volume delineation of organs at risk is required. This task is still manually performed, which is time-consuming and prone to observer variability. To address...
Organ Size Brain Neoplasms Brain Stem Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Humans Machine Learning
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