AIMC Topic: Image Interpretation, Computer-Assisted

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Predicting Semantic Descriptions from Medical Images with Convolutional Neural Networks.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Learning representative computational models from medical imaging data requires large training data sets. Often, voxel-level annotation is unfeasible for sufficient amounts of data. An alternative to manual annotation, is to use the enormous amount o...
Image Enhancement Retinal Diseases Tomography, Optical Coherence Humans Retina Algorithms Neural Networks, Computer Image Interpretation, Computer-Assisted Semantics Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity
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Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.

Information processing in medical imaging : proceedings of the ... conference Jan 1, 2015
Brain morphometry study plays a fundamental role in medical imaging analysis and diagnosis. This work proposes a novel framework for brain cortical surface classification using Wasserstein distance, based on uniformization theory and Riemannian optim...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Adolescent Humans Imaging, Three-Dimensional Artificial Intelligence Magnetic Resonance Imaging Algorithms Sensitivity and Specificity Reproducibility of Results Brain Young Adult Male Female Adult
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A recommender system for medical imaging diagnostic.

Studies in health technology and informatics Jan 1, 2015
The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical...
Decision Support Systems, Clinical Natural Language Processing Search Engine Expert Systems Image Interpretation, Computer-Assisted Diagnostic Imaging Radiology Information Systems Data Mining
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Multiple hypotheses image segmentation and classification with application to dietary assessment.

IEEE journal of biomedical and health informatics Jan 1, 2015
We propose a method for dietary assessment to automatically identify and locate food in a variety of images captured during controlled and natural eating events. Two concepts are combined to achieve this: a set of segmented objects can be partitioned...
Food Photography Diet Records Image Interpretation, Computer-Assisted Pattern Recognition, Automated Artificial Intelligence Reproducibility of Results Sensitivity and Specificity Mobile Applications Food Analysis
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Performance analysis of unsupervised optimal fuzzy clustering algorithm for MRI brain tumor segmentation.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2015
BACKGROUND: Segmentation of brain tumor from Magnetic Resonance Imaging (MRI) becomes very complicated due to the structural complexities of human brain and the presence of intensity inhomogeneities.
Cluster Analysis Image Interpretation, Computer-Assisted Pattern Recognition, Automated Magnetic Resonance Imaging Fuzzy Logic Task Performance and Analysis Humans Algorithms Brain Neoplasms India Sensitivity and Specificity
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Efficient training of convolutional deep belief networks in the frequency domain for application to high-resolution 2D and 3D images.

Neural computation Jan 1, 2015
Deep learning has traditionally been computationally expensive, and advances in training methods have been the prerequisite for improving its efficiency in order to expand its application to a variety of image classification problems. In this letter,...
Algorithms Learning Animals Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Computer Graphics
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Defining multivariate normative rules for healthy aging using neuroimaging and machine learning: an application to Alzheimer's disease.

Journal of Alzheimer's disease : JAD Jan 1, 2015
BACKGROUND: Neuroimaging techniques combined with computational neuroanatomy have been playing a role in the investigation of healthy aging and Alzheimer's disease (AD). The definition of normative rules for brain features is a crucial step to establ...
Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Aging Middle Aged Image Interpretation, Computer-Assisted Pattern Recognition, Automated Multivariate Analysis Organ Size Alzheimer Disease Unsupervised Machine Learning Female Sensitivity and Specificity Aged Humans Databases, Factual Male Aged, 80 and over Brain
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