Results 81 to 90 of about 107,245 (331)
Automatic Image Annotation using SURF Features
Automatic image annotation is a challenging field with a far reaching effect. As the world moves towards becoming more and more dependent on digital technologies every day, use of machine to automatically annotate images can be proved as demanding in many fields of image processing.
Sanjeev Sharma +2 more
openaire +1 more source
Value of MRI Outcomes for Preventive and Early‐Stage Trials in Spinocerebellar Ataxias 1 and 3
ABSTRACT Objective To examine the value of MRI outcomes as endpoints for preventive and early‐stage trials of two polyglutamine spinocerebellar ataxias (SCAs). Methods A cohort of 100 participants (23 SCA1, 63 SCA3, median Scale for the Assessment and Rating of Ataxia (SARA) score = 5, 42% preataxic, and 14 gene‐negative controls) was scanned at 3T up ...
Thiago J. R. Rezende +26 more
wiley +1 more source
Efficient musculoskeletal annotation using free-form deformation
Traditionally, constructing training datasets for automatic muscle segmentation from medical images involved skilled operators, leading to high labor costs and limited scalability.
Norio Fukuda +3 more
doaj +1 more source
Semantic Retrieval and Automatic Annotation: Linear Transformations, Correlation and Semantic Spaces
This paper proposes a new technique for auto-annotation and semantic retrieval based upon the idea of linearly mapping an image feature space to a keyword space.
Hare, Jonathan, Lewis, Paul
core +2 more sources
ABSTRACT Background Accessing brain magnetic resonance imaging (MRI) can be challenging, especially for underserved patients, which may lead to disparities in neurological diagnosis. Method This mixed‐methods study enrolled adults with one of four neurological disorders: mild cognitive impairment or dementia of the Alzheimer type, multiple sclerosis ...
Maya L. Mastick +19 more
wiley +1 more source
An Automatic Image Annotation Technique Based on Coverage Ratio of Tags
In this paper we propose an automatic image annotation technique.The proposed techniqueis based oncoverage ratio of tags byemployingboth image content and metadata.
Ali Abdolhoseini, Farzad Zargari
doaj
Automatic Image Annotation for Small and Ad hoc Intelligent Applications using Raspberry Pi
The cutting-edge technology Machine Learning (ML) is successfully applied for Business Intelligence. Among the various pre-processing steps of ML, Automatic Image Annotation (also known as automatic image tagging or linguistic indexing) is the process in
Syed Muslim Jameel +4 more
doaj +1 more source
Image annotation with Photocopain [PDF]
Photo annotation is a resource-intensive task, yet is increasingly essential as image archives and personal photo collections grow in size. There is an inherent conflict in the process of describing and archiving personal experiences, because casual ...
Brewster, Christopher +10 more
core
Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis
ABSTRACT Paramagnetic rim lesions (PRLs) are a subset of chronic active multiple sclerosis (MS) lesions marked by iron‐laden microglia and macrophages. Ocrelizumab, a monoclonal antibody targeting CD20+ B cells, suppresses acute MS activity, but its effect on PRLs remains unclear. In a longitudinal study of 29 ocrelizumab‐treated patients with at least
Kimberly H. Markowitz +9 more
wiley +1 more source
Automated annotation of landmark images using community contributed datasets and web resources [PDF]
A novel solution to the challenge of automatic image annotation is described. Given an image with GPS data of its location of capture, our system returns a semantically-rich annotation comprising tags which both identify the landmark in the image, and ...
Byrne, Daragh +4 more
core

