Results 71 to 80 of about 30,584 (306)

Feasibility and Tolerability of Performing Portable MRI for Neurological Disorders in an Outpatient Neurology Clinic: A Prospective Cohort

Annals of Clinical and Translational Neurology, EarlyView.
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, Nomin Enkhtsetseg, Joseph Sadok, Matheus Mochetti, Annabel Sorby Adams, Jennifer Guo, Cristina Trapaga Hacker, Isabella Gomez Hjerthen, Seungwon Lee, Siddharth Satish, Andrew S. Ham, Justin Hill, Denis Balaban, Kevin Kyle, Rebecca L. Gillani, Marcelo Matiello, Aleksandar Videnovic, Eric C. Klawiter, W. Taylor Kimberly, Farrah J. Mateen   +19 more
wiley   +1 more source

Identifying person re-occurrences for personal photo management applications [PDF]

, 2006
Automatic identification of "who" is present in individual digital images within a photo management system using only content-based analysis is an extremely difficult problem.
Cooray, Saman H., O'Hare, Neil, O\u27Hare, Neil, N. O'Hare, Jones, Gareth J.F., N.E. O'Connor, A.F. Smeaton, O'Connor, Noel E., Gurrin, Cathal, Smeaton, Alan F., O\u27Connor, Noel E., C. Gurrin, G.J.F. Jones, S. Cooray   +13 more
core   +1 more source

An Automatic Image Annotation Technique Based on Coverage Ratio of Tags

International Journal of Information and Communication Technology Research, 2012
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

MATEC Web of Conferences, 2019
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, Manzoor Ahmed Hashmani, Syed Sajjad Hussain Rizvi, Vali Uddin, Mobashar Rehman   +4 more
doaj   +1 more source

Quantifying the Impact of Ocrelizumab on Paramagnetic Rim Lesions in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
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, Neha V. Safi, Iliana Pliska‐Bloch, Ulrike W. Kaunzner, Ha Luu, Mert Sisman, Yi Wang, Thanh D. Nguyen, Sandra Hurtado Rúa, Susan A. Gauthier   +9 more
wiley   +1 more source

Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani, Emmanuel Barbeau, Béatrice Lemesle, Emilie Milongo‐Rigal, Sophie Fernandez, Sandrine Charpentier, Jean‐François Albucher, Nicolas Raposo, Fabrice Bonneville, Patrice Péran, Jérémie Pariente   +10 more
wiley   +1 more source

Graph of Concepts for Semantic Annotation of Remotely Sensed Images based on Direct Neighbors in RAG

Canadian Journal of Remote Sensing, 2018
Image annotation is a challenging task and is widely studied in several fields such as image interpretation and retrieval. With the overwhelming volume of image data, manual annotation is no longer practical.
Khitem Amiri, Mohamed Farah
doaj   +1 more source

Comprehensive Assessment of Arterial, Tissue, and Venous Collaterals for Evaluating the Infarct Growth Rate: The Multimodal Collateral Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto, Umberto Pensato, Ilaria Casetta, Giorgio U. Marcello, Angelo Barra, Anna Poggesi, Edoardo Carlesi, Sara Mancini, Andrea Ginestroni, Vittorio Miele, Alessandro Padovani, Andrea Morotti, Enrico Fainardi   +12 more
wiley   +1 more source

Semantic, Automatic Image Annotation Based On Multi-Layered Active Contours and Decision Trees

, 2013
In this paper, we propose a new approach for automatic image annotation (AIA) in order to automatically and efficiently assign linguistic concepts to visual data such as digital images, based on both numeric and semantic features.
Olszewska, Joanna Isabelle
core  

Ratsnake: A Versatile Image Annotation Tool with Application to Computer-Aided Diagnosis

The Scientific World Journal, 2014
Image segmentation and annotation are key components of image-based medical computer-aided diagnosis (CAD) systems. In this paper we present Ratsnake, a publicly available generic image annotation tool providing annotation efficiency, semantic awareness,
D. K. Iakovidis, T. Goudas, C. Smailis, I. Maglogiannis   +3 more
doaj   +1 more source