AIMC Topic:
Image Interpretation, Computer-Assisted

Clear Filters Showing 2251 to 2260 of 2747 articles

Watershed based intelligent scissors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 21, 2015
Watershed based modification of intelligent scissors has been developed. This approach requires a preprocessing phase with anisotropic diffusion to reduce subtle edges. Then, the watershed transform enhances the corridors. Finally, a roaming procedur...
Humans Algorithms Tomography, X-Ray Computed Reproducibility of Results Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Magnetic Resonance Imaging Fuzzy Logic Image Interpretation, Computer-Assisted
View on PubMed DOI

Learning-based prediction of gestational age from ultrasound images of the fetal brain.

Medical image analysis Jan 3, 2015
We propose an automated framework for predicting gestational age (GA) and neurodevelopmental maturation of a fetus based on 3D ultrasound (US) brain image appearance. Our method capitalizes on age-related sonographic image patterns in conjunction wit...
Image Enhancement Male Gestational Age Ultrasonography, Prenatal Crown-Rump Length Humans Image Interpretation, Computer-Assisted Female Algorithms Artificial Intelligence Pattern Recognition, Automated Brain Reproducibility of Results Echoencephalography Sensitivity and Specificity
View on PubMed DOI

Retinal vessel extraction using Lattice Neural Networks with Dendritic Processing.

Computers in biology and medicine Dec 31, 2014
Retinal images can be used to detect and follow up several important chronic diseases. The classification of retinal images requires an experienced ophthalmologist. This has been a bottleneck to implement routine screenings performed by general physi...
Adult Diabetic Retinopathy Neural Networks, Computer Sensitivity and Specificity Humans Image Interpretation, Computer-Assisted Retinal Vessels Aged Middle Aged Pattern Recognition, Automated Aged, 80 and over Support Vector Machine
View on PubMed DOI

A generic support vector machine model for preoperative glioma survival associations.

Radiology Dec 8, 2014
PURPOSE: To develop a generic support vector machine (SVM) model by using magnetic resonance (MR) imaging-based blood volume distribution data for preoperative glioma survival associations and to prospectively evaluate the diagnostic effectiveness of...
Glioma Support Vector Machine Contrast Media Magnetic Resonance Imaging Brain Neoplasms Male Female Survival Analysis Middle Aged Aged Image Interpretation, Computer-Assisted Adolescent Aged, 80 and over Adult Humans Retrospective Studies
View on PubMed DOI

Predicting outcome in clinically isolated syndrome using machine learning.

NeuroImage. Clinical Dec 4, 2014
We aim to determine if machine learning techniques, such as support vector machines (SVMs), can predict the occurrence of a second clinical attack, which leads to the diagnosis of clinically-definite Multiple Sclerosis (CDMS) in patients with a clini...
Demyelinating Diseases Support Vector Machine Magnetic Resonance Imaging Multiple Sclerosis Image Interpretation, Computer-Assisted Adult Sensitivity and Specificity Male Humans Middle Aged Retrospective Studies Disease Progression Female Young Adult
View on PubMed DOI

Computer-aided diagnosis from weak supervision: a benchmarking study.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 20, 2014
Supervised machine learning is a powerful tool frequently used in computer-aided diagnosis (CAD) applications. The bottleneck of this technique is its demand for fine grained expert annotations, which are tedious for medical image analysis applicatio...
Humans Diabetic Retinopathy Algorithms Reproducibility of Results Sensitivity and Specificity Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Neoplasms Benchmarking Supervised Machine Learning Microscopy
View on PubMed DOI

Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 12, 2014
Shape based active contours have emerged as a natural solution to overlap resolution. However, most of these shape-based methods are computationally expensive. There are instances in an image where no overlapping objects are present and applying thes...
Neoplasm Grading Microscopy Image Interpretation, Computer-Assisted Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity Male Prostatic Neoplasms Image Enhancement Oligonucleotide Array Sequence Analysis Subtraction Technique Cell Nucleus Shape Humans Machine Learning Algorithms
View on PubMed DOI

Computer-aided diagnosis system based on fuzzy logic for breast cancer categorization.

Computers in biology and medicine Oct 14, 2014
BACKGROUND: Fuzzy logic can help reduce the difficulties faced by computational systems to represent and simulate the reasoning and the style adopted by radiologists in the process of medical image analysis. The study described in this paper consists...
Breast Neoplasms User-Computer Interface Computational Biology Humans Fuzzy Logic Algorithms Image Interpretation, Computer-Assisted Female
View on PubMed DOI

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

NeuroImage Oct 12, 2014
Mild cognitive impairment (MCI) is a transitional stage between age-related cognitive decline and Alzheimer's disease (AD). For the effective treatment of AD, it would be important to identify MCI patients at high risk for conversion to AD. In this s...
Biomarkers Brain Female Risk Factors Male Middle Aged Cognitive Dysfunction Aged Aged, 80 and over Humans Machine Learning Databases, Factual Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted
View on PubMed DOI

Towards semantic-driven high-content image analysis: an operational instantiation for mitosis detection in digital histopathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 2, 2014
This study concerns a novel symbolic cognitive vision framework emerged from the Cognitive Microscopy (MICO(1)) initiative. MICO aims at supporting the evolution towards digital pathology, by studying cognitive clinical-compliant protocols involving ...
Pattern Recognition, Automated Cell Nucleus Image Enhancement Machine Learning Mitosis Humans Signal Processing, Computer-Assisted Software Histological Techniques Microscopy Reproducibility of Results Algorithms Image Interpretation, Computer-Assisted Female Sensitivity and Specificity Semantics Breast Neoplasms User-Computer Interface Neoplasm Grading
View on PubMed DOI
Popular Topics
Recent Journals