AIMC Topic: Image Enhancement

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Learning-based prediction of gestational age from ultrasound images of the fetal brain.

Medical image analysis Jan 3, 2015
We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturation of a fetus based on 3D ultrasound (US) brain image appearance. Our method capitalizes on age-related sonographic image patterns in conjunction wit...
Female Echoencephalography Reproducibility of Results Humans Gestational Age Ultrasonography, Prenatal Artificial Intelligence Crown-Rump Length Sensitivity and Specificity Image Interpretation, Computer-Assisted Algorithms Male Brain Pattern Recognition, Automated Image Enhancement
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Computer-aided diagnosis from weak supervision: a benchmarking study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 20, 2014
Supervised machine learning is a powerful tool frequently used in computer-aided diagnosis (CAD) applications. The bottleneck of this technique is its demand for fine grained expert annotations, which are tedious for medical image analysis applicatio...
Neoplasms Benchmarking Supervised Machine Learning Image Interpretation, Computer-Assisted Image Enhancement Microscopy Humans Pattern Recognition, Automated Diabetic Retinopathy Algorithms Reproducibility of Results Sensitivity and Specificity
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Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 12, 2014
Shape based active contours have emerged as a natural solution to overlap resolution. However, most of these shape-based methods are computationally expensive. There are instances in an image where no overlapping objects are present and applying thes...
Humans Image Interpretation, Computer-Assisted Male Pattern Recognition, Automated Machine Learning Image Enhancement Subtraction Technique Algorithms Prostatic Neoplasms Cell Nucleus Shape Oligonucleotide Array Sequence Analysis Reproducibility of Results Neoplasm Grading Sensitivity and Specificity Microscopy
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Computer-aided diagnosis of mammographic masses using scalable image retrieval.

IEEE transactions on bio-medical engineering Oct 28, 2014
Computer-aided diagnosis of masses in mammograms is important to the prevention of breast cancer. Many approaches tackle this problem through content-based image retrieval techniques. However, most of them fall short of scalability in the retrieval s...
Reproducibility of Results Sensitivity and Specificity Breast Neoplasms Calcinosis Pattern Recognition, Automated Image Enhancement Mammography Radiographic Image Interpretation, Computer-Assisted Humans Artificial Intelligence Algorithms Female
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Towards semantic-driven high-content image analysis: an operational instantiation for mitosis detection in digital histopathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 2, 2014
This study concerns a novel symbolic cognitive vision framework emerged from the Cognitive Microscopy (MICO(1)) initiative. MICO aims at supporting the evolution towards digital pathology, by studying cognitive clinical-compliant protocols involving ...
Sensitivity and Specificity Breast Neoplasms User-Computer Interface Neoplasm Grading Software Algorithms Female Reproducibility of Results Pattern Recognition, Automated Cell Nucleus Image Enhancement Mitosis Histological Techniques Signal Processing, Computer-Assisted Microscopy Image Interpretation, Computer-Assisted Semantics Humans Machine Learning
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Trainable COSFIRE filters for vessel delineation with application to retinal images.

Medical image analysis Sep 3, 2014
Retinal imaging provides a non-invasive opportunity for the diagnosis of several medical pathologies. The automatic segmentation of the vessel tree is an important pre-processing step which facilitates subsequent automatic processes that contribute t...
Observer Variation Pattern Recognition, Automated Image Enhancement Retinal Diseases Algorithms Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Fluorescein Angiography Retinal Vessels Humans Artificial Intelligence
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Four-class classification of skin lesions with task decomposition strategy.

IEEE transactions on bio-medical engineering Aug 15, 2014
This paper proposes a new computer-aided method for the skin lesion classification applicable to both melanocytic skin lesions (MSLs) and nonmelanocytic skin lesions (NoMSLs). The computer-aided skin lesion classification has drawn attention as an ai...
Colorimetry Image Interpretation, Computer-Assisted Algorithms Pattern Recognition, Automated Humans Image Enhancement Dermoscopy Skin Neoplasms Artificial Intelligence Reproducibility of Results Sensitivity and Specificity
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Feature selection in supervised saliency prediction.

IEEE transactions on cybernetics Aug 5, 2014
There is an increasing interest in learning mappings from features to saliency maps based on human fixation data on natural images. These models have achieved better results than most bottom-up (unsupervised) saliency models. However, they usually us...
Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Subtraction Technique
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Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2014
The detection of MRI abnormalities that can be associated to seizures in the study of temporal lobe epilepsy (TLE) is a challenging task. In many cases, patients with a record of epileptic activity do not present any discernible MRI findings. In this...
Pattern Recognition, Automated Image Enhancement Epilepsy, Temporal Lobe Diffusion Tensor Imaging Male Support Vector Machine Multimodal Imaging Image Interpretation, Computer-Assisted Female Reproducibility of Results Adult Sensitivity and Specificity Humans Machine Learning Algorithms
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Enhanced needle localization in ultrasound using beam steering and learning-based segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 6, 2014
Segmentation of needles in ultrasound images remains a challenging problem. In this paper, we introduce a machine learning-based method for needle segmentation in 2D beam-steered ultrasound images. We used a statistical boosting approach to train a p...
Nerve Block Chickens Ultrasonography, Interventional Injections Animals Swine In Vitro Techniques Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Needles Algorithms Reproducibility of Results Sensitivity and Specificity Humans Machine Learning
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