AIMC Topic: Image Interpretation, Computer-Assisted
Clear Filters Showing 2711 to 2720 of 2747 articles
Medical ultrasound diagnosis in the near future as we move toward the era of the singularity.
Journal of medical ultrasonics (2001)
Jul 1, 2016
Classifying and segmenting microscopy images with deep multiple instance learning.
Bioinformatics (Oxford, England)
Jun 15, 2016
MOTIVATION: High-content screening (HCS) technologies have enabled large scale imaging experiments for studying cell biology and for drug screening. These systems produce hundreds of thousands of microscopy images per day and their utility depends on...
A modified fuzzy C-means method for segmenting MR images using non-local information.
Technology and health care : official journal of the European Society for Engineering and Medicine
Apr 29, 2016
BACKGROUND: In recent years, MR images have been increasingly used in therapeutic applications such as image-guided radiotherapy (IGRT). However, images with low contrast values and noises present challenges for image segmentation.
Endowing a Content-Based Medical Image Retrieval System with Perceptual Similarity Using Ensemble Strategy.
Journal of digital imaging
Feb 1, 2016
Content-based medical image retrieval (CBMIR) is a powerful resource to improve differential computer-aided diagnosis. The major problem with CBMIR applications is the semantic gap, a situation in which the system does not follow the users' sense of ...
Feature-Motivated Simplified Adaptive PCNN-Based Medical Image Fusion Algorithm in NSST Domain.
Journal of digital imaging
Feb 1, 2016
Multimodality medical image fusion plays a vital role in diagnosis, treatment planning, and follow-up studies of various diseases. It provides a composite image containing critical information of source images required for better localization and def...
Supervised learning technique for the automated identification of white matter hyperintensities in traumatic brain injury.
Brain injury
Jan 1, 2016
BACKGROUND: White matter hyperintensities (WMHs) are foci of abnormal signal intensity in white matter regions seen with magnetic resonance imaging (MRI). WMHs are associated with normal ageing and have shown prognostic value in neurological conditio...
Fuzzy Computer-Aided Alzheimer's Disease Diagnosis Based on MRI Data.
Current Alzheimer research
Jan 1, 2016
Alzheimer's disease (AD) is a chronic neurodegenerative disease of the central nervous system that has no cure and leads to death. One of the most prevalent tools for AD diagnosis is magnetic resonance imaging (MRI), because of its capability to visu...
Frontiers for the Early Diagnosis of AD by Means of MRI Brain Imaging and Support Vector Machines.
Current Alzheimer research
Jan 1, 2016
The emergence of Alzheimer's Disease (AD) as a consequence of increasing aging population makes urgent the availability of methods for the early and accurate diagnosis. Magnetic Resonance Imaging (MRI) could be used as in vivo, non invasive tool to i...
Outlier detection and removal improves accuracy of machine learning approach to multispectral burn diagnostic imaging.
Journal of biomedical optics
Dec 1, 2015
Multispectral imaging (MSI) was implemented to develop a burn tissue classification device to assist burn surgeons in planning and performing debridement surgery. To build a classification model via machine learning, training data accurately represen...
Detection of Hard Exudates in Colour Fundus Images Using Fuzzy Support Vector Machine-Based Expert System.
Journal of digital imaging
Dec 1, 2015
Diabetic retinopathy is a major cause of vision loss in diabetic patients. Currently, there is a need for making decisions using intelligent computer algorithms when screening a large volume of data. This paper presents an expert decision-making syst...
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