AIMC Topic: Pattern Recognition, Automated

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Deep learning with convolutional neural network in radiology.

Japanese journal of radiology Mar 1, 2018
Deep learning with a convolutional neural network (CNN) is gaining attention recently for its high performance in image recognition. Images themselves can be utilized in a learning process with this technique, and feature extraction in advance of the...
Humans Neural Networks, Computer Machine Learning Diagnostic Imaging Radiology Pattern Recognition, Automated Software Image Processing, Computer-Assisted
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Multi-channel multi-scale fully convolutional network for 3D perivascular spaces segmentation in 7T MR images.

Medical image analysis Feb 27, 2018
Accurate segmentation of perivascular spaces (PVSs) is an important step for quantitative study of PVS morphology. However, since PVSs are the thin tubular structures with relatively low contrast and also the number of PVSs is often large, it is chal...
Image Enhancement Lymphatic System Magnetic Resonance Imaging Pattern Recognition, Automated Algorithms Brain Sensitivity and Specificity Imaging, Three-Dimensional Reproducibility of Results Humans Neural Networks, Computer
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Predication of different stages of Alzheimer's disease using neighborhood component analysis and ensemble decision tree.

Journal of neuroscience methods Feb 24, 2018
BACKGROUND: There is a spectrum of the progression from healthy control (HC) to mild cognitive impairment (MCI) without conversion to Alzheimer's disease (AD), to MCI with conversion to AD (cMCI), and to AD. This study aims to predict the different d...
Brain Female Male Humans Machine Learning Magnetic Resonance Imaging Decision Trees Principal Component Analysis Disease Progression Cognitive Dysfunction Pattern Recognition, Automated Alzheimer Disease Image Interpretation, Computer-Assisted
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An adaptive deep Q-learning strategy for handwritten digit recognition.

Neural networks : the official journal of the International Neural Network Society Feb 22, 2018
Handwritten digits recognition is a challenging problem in recent years. Although many deep learning-based classification algorithms are studied for handwritten digits recognition, the recognition accuracy and running time still need to be further im...
Humans Neural Networks, Computer Deep Learning Pattern Recognition, Automated Handwriting
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Biologically Inspired Intensity and Depth Image Edge Extraction.

IEEE transactions on neural networks and learning systems Feb 20, 2018
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot ...
Pattern Recognition, Automated Depth Perception Humans Visual Pathways Neural Networks, Computer Models, Neurological Virtual Reality Action Potentials Image Processing, Computer-Assisted Neurons
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Computer Aided Solution for Automatic Segmenting and Measurements of Blood Leucocytes Using Static Microscope Images.

Journal of medical systems Feb 17, 2018
Blood leucocytes segmentation in medical images is viewed as difficult process due to the variability of blood cells concerning their shape and size and the difficulty towards determining location of Blood Leucocytes. Physical analysis of blood tests...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Image Processing, Computer-Assisted Leukocytes Humans Microscopy Support Vector Machine Artificial Intelligence
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Robust Latent Regression with discriminative regularization by leveraging auxiliary knowledge.

Neural networks : the official journal of the International Neural Network Society Feb 15, 2018
For a domain adaptation learning problem, how to minimize the distribution mismatch between different domains is one of key challenges. In real applications, it is reasonable to obtain an optimal latent space for both domains so as to reduce the doma...
Pattern Recognition, Automated Machine Learning
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Salient object detection based on multi-scale contrast.

Neural networks : the official journal of the International Neural Network Society Feb 13, 2018
Due to the development of deep learning networks, a salient object detection based on deep learning networks, which are used to extract the features, has made a great breakthrough compared to the traditional methods. At present, the salient object de...
Neural Networks, Computer Image Processing, Computer-Assisted Pattern Recognition, Automated Machine Learning
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Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models.

Computational intelligence and neuroscience Feb 12, 2018
Human detection in videos plays an important role in various real life applications. Most of traditional approaches depend on utilizing handcrafted features which are problem-dependent and optimal for specific tasks. Moreover, they are highly suscept...
Image Processing, Computer-Assisted Machine Learning Humans Pattern Recognition, Automated Motion Video Recording Time Factors Neural Networks, Computer Motor Activity
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Cell Segmentation Based on FOPSO Combined With Shape Information Improved Intuitionistic FCM.

IEEE journal of biomedical and health informatics Feb 6, 2018
Fuzzy c-means (FCM) clustering algorithms have been proved to be effective image segmentation techniques. However, FCM clustering algorithms are sensitive to noises and initialization. They cannot effectively segment cell images with inhomogeneous gr...
Image Processing, Computer-Assisted Fuzzy Logic Cluster Analysis Humans Pattern Recognition, Automated Algorithms Cytological Techniques HeLa Cells
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