AIMC Topic: Image Interpretation, Computer-Assisted

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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.
Humans Algorithms Sensitivity and Specificity Brain Neoplasms India Magnetic Resonance Imaging Fuzzy Logic Cluster Analysis Image Interpretation, Computer-Assisted Pattern Recognition, Automated Task Performance and Analysis
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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,...
Humans Neural Networks, Computer Algorithms Learning Animals 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...
Humans Databases, Factual Brain Female Aged Aged, 80 and over Sensitivity and Specificity Male Aging Middle Aged Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Unsupervised Machine Learning Organ Size Alzheimer Disease Image Interpretation, Computer-Assisted Pattern Recognition, Automated Multivariate Analysis
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