AIMC Topic: Image Enhancement

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Ultrasound Image Discrimination between Benign and Malignant Adnexal Masses Based on a Neural Network Approach.

Ultrasound in medicine & biology Dec 20, 2015
The discrimination between benign and malignant adnexal masses in ultrasound images represents one of the most challenging problems in gynecologic practice. In the study described here, a new method for automatic discrimination of adnexal masses base...
Algorithms Female Reproducibility of Results Adult Humans Neural Networks, Computer Ovarian Neoplasms Image Interpretation, Computer-Assisted Sensitivity and Specificity Pattern Recognition, Automated Middle Aged Image Enhancement Ultrasonography Adnexal Diseases Diagnosis, Differential
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Fast Multiclass Dictionaries Learning With Geometrical Directions in MRI Reconstruction.

IEEE transactions on bio-medical engineering Nov 25, 2015
OBJECTIVE: Improve the reconstructed image with fast and multiclass dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data.
Machine Learning Algorithms Brain Reproducibility of Results Humans Subtraction Technique Pattern Recognition, Automated Image Enhancement Phantoms, Imaging Data Compression Sensitivity and Specificity Magnetic Resonance Imaging Sample Size Artifacts
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Color Correction Parameter Estimation on the Smartphone and Its Application to Automatic Tongue Diagnosis.

Journal of medical systems Nov 2, 2015
BACKGROUND: An automatic tongue diagnosis framework is proposed to analyze tongue images taken by smartphones. Different from conventional tongue diagnosis systems, our input tongue images are usually in low resolution and taken under unknown lightin...
Tongue Image Enhancement Humans Smartphone Support Vector Machine Medicine, Chinese Traditional Regression Analysis Color Lighting
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Exploiting ensemble learning for automatic cataract detection and grading.

Computer methods and programs in biomedicine Oct 24, 2015
Cataract is defined as a lenticular opacity presenting usually with poor visual acuity. It is one of the most common causes of visual impairment worldwide. Early diagnosis demands the expertise of trained healthcare professionals, which may present a...
Reproducibility of Results Sensitivity and Specificity Cataract Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Pattern Recognition, Automated Image Enhancement Ophthalmoscopy
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Analyzing animal behavior via classifying each video frame using convolutional neural networks.

Scientific reports Sep 23, 2015
High-throughput analysis of animal behavior requires software to analyze videos. Such software analyzes each frame individually, detecting animals' body parts. But the image analysis rarely attempts to recognize "behavioral states"-e.g., actions or f...
Behavior Observation Techniques Software Algorithms Animals Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Sexual Behavior, Animal Drosophila Neural Networks, Computer Machine Learning
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A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 21, 2015
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 μm. Recent studies in...
Humans Data Interpretation, Statistical Radiography Tomography, Optical Coherence Pattern Recognition, Automated Least-Squares Analysis Reproducibility of Results Image Enhancement Sensitivity and Specificity Coronary Artery Disease Supervised Machine Learning Image Interpretation, Computer-Assisted
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Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation.

Medical image analysis Jul 26, 2015
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...
Regression Analysis Reproducibility of Results Pattern Recognition, Automated Organ Size Sensitivity and Specificity Heart Ventricles Image Enhancement Stroke Volume Image Interpretation, Computer-Assisted Ventricular Dysfunction Imaging, Three-Dimensional Humans Neural Networks, Computer Machine Learning Algorithms
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Retinal vessel segmentation using multi-scale textons derived from keypoints.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 22, 2015
This paper presents a retinal vessel segmentation algorithm which uses a texton dictionary to classify vessel/non-vessel pixels. However, in contrast to previous work where filter parameters are learnt from manually labelled image pixels our filter p...
Retinoscopy Humans Neural Networks, Computer Machine Learning Algorithms Pattern Recognition, Automated Image Enhancement Subtraction Technique Reproducibility of Results Retinal Vessels Sensitivity and Specificity Anatomic Landmarks Image Interpretation, Computer-Assisted
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A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2015
The tongue is a critical organ for a variety of functions, including swallowing, respiration, and speech. It contains intrinsic and extrinsic muscles that play an important role in changing its shape and position. Diffusion tensor imaging (DTI) has b...
Muscle, Skeletal Diagnosis, Differential Bayes Theorem Tongue Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Humans Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Diffusion Magnetic Resonance Imaging
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Exploring multifractal-based features for mild Alzheimer's disease classification.

Magnetic resonance in medicine Jul 20, 2015
PURPOSE: Multifractal applications to resting state functional MRI (rs-fMRI) time series for diagnosing Alzheimer's disease (AD) are still limited. We aim to address two issues: (I) if and what multifractal features are sufficiently discriminative to...
Humans Algorithms Image Enhancement Brain Fractals Diagnosis, Differential Subtraction Technique Female Male Alzheimer Disease Reproducibility of Results Severity of Illness Index Image Interpretation, Computer-Assisted Support Vector Machine Aged Pattern Recognition, Automated Magnetic Resonance Imaging Sensitivity and Specificity
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