AIMC Topic:
Image Interpretation, Computer-Assisted

Clear Filters Showing 2241 to 2250 of 2747 articles

Online kernel slow feature analysis for temporal video segmentation and tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 29, 2015
Slow feature analysis (SFA) is a dimensionality reduction technique which has been linked to how visual brain cells work. In recent years, the SFA was adopted for computer vision tasks. In this paper, we propose an exact kernel SFA (KSFA) framework f...
Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity Pattern Recognition, Automated Image Enhancement Photography Subtraction Technique Signal Processing, Computer-Assisted Biomimetics Video Recording Image Interpretation, Computer-Assisted
View on PubMed DOI

An unsupervised feature learning framework for basal cell carcinoma image analysis.

Artificial intelligence in medicine Apr 23, 2015
OBJECTIVE: The paper addresses the problem of automatic detection of basal cell carcinoma (BCC) in histopathology images. In particular, it proposes a framework to both, learn the image representation in an unsupervised way and visualize discriminati...
Biopsy Image Interpretation, Computer-Assisted Pathology, Clinical ROC Curve Decision Support Systems, Clinical Staining and Labeling Unsupervised Machine Learning Predictive Value of Tests Automation, Laboratory Area Under Curve Humans Skin Neoplasms Discriminant Analysis Decision Support Techniques Carcinoma, Basal Cell Reproducibility of Results
View on PubMed DOI

Robust representation and recognition of facial emotions using extreme sparse learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 25, 2015
Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning sy...
Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Emotions Image Interpretation, Computer-Assisted Image Enhancement Pattern Recognition, Automated Facial Expression Photography Facial Recognition Subtraction Technique
View on PubMed DOI

Real-time supervised detection of pink areas in dermoscopic images of melanoma: importance of color shades, texture and location.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) Mar 22, 2015
BACKGROUND/PURPOSE: Early detection of malignant melanoma is an important public health challenge. In the USA, dermatologists are seeing more melanomas at an early stage, before classic melanoma features have become apparent. Pink color is a feature ...
Humans Image Interpretation, Computer-Assisted Colorimetry Pattern Recognition, Automated Algorithms Color Skin Pigmentation Melanoma Supervised Machine Learning Dermoscopy Skin Neoplasms Reproducibility of Results Sensitivity and Specificity Computer Systems
View on PubMed DOI

Multicomponent signal unmixing from nanoheterostructures: overcoming the traditional challenges of nanoscale X-ray analysis via machine learning.

Nano letters Mar 17, 2015
The chemical composition of core-shell nanoparticle clusters have been determined through principal component analysis (PCA) and independent component analysis (ICA) of an energy-dispersive X-ray (EDX) spectrum image (SI) acquired in a scanning trans...
Imaging, Three-Dimensional Magnetite Nanoparticles Materials Testing Image Interpretation, Computer-Assisted Pattern Recognition, Automated X-Ray Diffraction Microscopy, Electron, Transmission Machine Learning
View on PubMed DOI

Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

Journal of magnetic resonance imaging : JMRI Mar 2, 2015
BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) and end-systolic (ES) images for accurate quantification of left ventricular (LV) function in real-time cine imaging.
Reproducibility of Results Young Adult Adult Sensitivity and Specificity Humans Machine Learning Algorithms Observer Variation Pattern Recognition, Automated Image Enhancement History, Ancient Male Ventricular Function, Left Computer Systems Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine
View on PubMed DOI

Non-invasive health status detection system using Gabor filters based on facial block texture features.

Journal of medical systems Feb 27, 2015
Blood tests allow doctors to check for certain diseases and conditions. However, using a syringe to extract the blood can be deemed invasive, slightly painful, and its analysis time consuming. In this paper, we propose a new non-invasive system to de...
Face Humans Support Vector Machine Health Status Image Interpretation, Computer-Assisted
View on PubMed DOI

A novel multiple instance learning method based on extreme learning machine.

Computational intelligence and neuroscience Feb 3, 2015
Since real-world data sets usually contain large instances, it is meaningful to develop efficient and effective multiple instance learning (MIL) algorithm. As a learning paradigm, MIL is different from traditional supervised learning that handles the...
Neural Networks, Computer Models, Theoretical Artificial Intelligence Image Interpretation, Computer-Assisted Algorithms Pattern Recognition, Automated
View on PubMed DOI

Structured patch model for a unified automatic and interactive segmentation framework.

Medical image analysis Jan 29, 2015
We present a novel interactive segmentation framework incorporating a priori knowledge learned from training data. The knowledge is learned as a structured patch model (StPM) comprising sets of corresponding local patch priors and their pairwise spat...
Pattern Recognition, Automated Algorithms Image Enhancement Machine Learning Computer Simulation Subtraction Technique Sensitivity and Specificity Reproducibility of Results Models, Statistical Models, Biological Image Interpretation, Computer-Assisted
View on PubMed DOI

Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jan 28, 2015
BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in assessing WM alterations in the predementia stage of mild cognitive impairment (MCI).
Image Enhancement Humans Cognitive Dysfunction Diffusion Tensor Imaging Machine Learning Aged Multimodal Imaging Algorithms Prodromal Symptoms Sensitivity and Specificity Alzheimer Disease Reproducibility of Results Male Image Interpretation, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals