AIMC Topic: Sensitivity and Specificity

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Novel structural descriptors for automated colon cancer detection and grading.

Computer methods and programs in biomedicine Jun 6, 2015
The histopathological examination of tissue specimens is necessary for the diagnosis and grading of colon cancer. However, the process is subjective and leads to significant inter/intra observer variation in diagnosis as it mainly relies on the visua...
Humans Algorithms Female Reproducibility of Results Aged Pattern Recognition, Automated Image Enhancement Support Vector Machine Neoplasm Grading Colonic Neoplasms Microscopy Adult Image Interpretation, Computer-Assisted Sensitivity and Specificity Male Middle Aged
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Local configuration pattern features for age-related macular degeneration characterization and classification.

Computers in biology and medicine Jun 4, 2015
Age-related Macular Degeneration (AMD) is an irreversible and chronic medical condition characterized by drusen, Choroidal Neovascularization (CNV) and Geographic Atrophy (GA). AMD is one of the major causes of visual loss among elderly people. It is...
Macular Degeneration Sensitivity and Specificity Male Image Processing, Computer-Assisted Support Vector Machine Humans Retina Female
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A Markov random field approach to group-wise registration/mosaicing with application to ultrasound.

Medical image analysis Jun 3, 2015
In this paper we present a group-wise non-rigid registration/mosaicing algorithm based on block-matching, which is developed within a probabilistic framework. The discrete form of its energy functional is linked to a Markov Random Field (MRF) contain...
Ultrasonography Imaging, Three-Dimensional Models, Statistical Data Interpretation, Statistical Markov Chains Pregnancy Female Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Subtraction Technique Humans Machine Learning Algorithms Computer Simulation
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Control of a Wheelchair in an Indoor Environment Based on a Brain-Computer Interface and Automated Navigation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jun 1, 2015
The concept of controlling a wheelchair using brain signals is promising. However, the continuous control of a wheelchair based on unstable and noisy electroencephalogram signals is unreliable and generates a significant mental burden for the user. A...
Reproducibility of Results Young Adult Adult Sensitivity and Specificity Male Brain-Computer Interfaces Ecosystem Humans Equipment Failure Analysis Robotics Machine Learning Man-Machine Systems Electroencephalography Female Wheelchairs Equipment Design Spatial Navigation Pattern Recognition, Automated
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Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest.

Medical image analysis May 27, 2015
Cardiac computed tomography angiography (CTA) is a non-invasive method for anatomic evaluation of coronary artery stenoses. However, CTA is prone to artifacts that reduce the diagnostic accuracy to identify stenoses. Further, CTA does not allow for d...
Rest Reproducibility of Results Humans Myocardial Perfusion Imaging Sensitivity and Specificity Machine Learning Coronary Stenosis Coronary Angiography Algorithms Radiographic Image Enhancement Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Pattern Recognition, Automated
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Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.

NMR in biomedicine May 26, 2015
Multiparametric medical imaging data can be large and are often complex. Machine learning algorithms can assist in image interpretation when reliable training data exist. In most cases, however, knowledge about ground truth (e.g. histology) and thus ...
Sensitivity and Specificity Male Middle Aged Magnetic Resonance Imaging Multimodal Imaging Prostatic Neoplasms Positron-Emission Tomography Image Interpretation, Computer-Assisted Pattern Recognition, Automated Machine Learning Algorithms Reproducibility of Results Aged Aged, 80 and over Image Enhancement Humans
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Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach.

The Journal of international medical research May 22, 2015
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doct...
Asian People Middle Aged Papillomaviridae Disease Progression Vaginal Smears Aged Humans Adolescent Genotype Republic of Korea Child Young Adult Support Vector Machine Female Adult Age Factors Biopsy Sensitivity and Specificity Uterine Cervical Neoplasms
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Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

Brain structure & function May 21, 2015
Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis has attracted researchers in the field, due to the increasing prevalence of the diseases. Unfortunately, the unfavorable high-dimensional nature of neu...
Support Vector Machine Magnetic Resonance Imaging Regression Analysis Alzheimer Disease Positron-Emission Tomography Female Aged Sensitivity and Specificity Male Diagnosis, Computer-Assisted Humans Algorithms
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Echocardiogram enhancement using supervised manifold denoising.

Medical image analysis May 21, 2015
This paper presents data-driven methods for echocardiogram enhancement. Existing denoising algorithms typically rely on a single noise model, and do not generalize to the composite noise sources typically found in real-world echocardiograms. Our meth...
Image Enhancement Signal-To-Noise Ratio Humans Supervised Machine Learning Algorithms Image Interpretation, Computer-Assisted Reproducibility of Results Artifacts Sensitivity and Specificity Pattern Recognition, Automated Echocardiography
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Automated extraction and labelling of the arterial tree from whole-body MRA data.

Medical image analysis May 21, 2015
In this work, we present a fully automated algorithm for extraction of the 3D arterial tree and labelling the tree segments from whole-body magnetic resonance angiography (WB-MRA) sequences. The algorithm developed consists of two core parts (i) 3D v...
Magnetic Resonance Angiography Arteries Whole Body Imaging Humans Male Machine Learning Imaging, Three-Dimensional Algorithms Image Interpretation, Computer-Assisted Female Pattern Recognition, Automated Reproducibility of Results Image Enhancement Aged Sensitivity and Specificity
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