Results 51 to 60 of about 105,087 (335)

Automatic Annotation and Retrieval of Images [PDF]

World Wide Web, 2002
Although a variety of techniques have been developed for content-based image retrieval (CBIR), automatic image retrieval by semantics still remains a challenging problem. We propose a novel approach for semantics-based image annotation and retrieval. Our approach is based on the monotonic tree model.
Song, Yuqing, Wang, Wei, Zhang, Aidong
openaire   +3 more sources

Lesion Location and Functional Connections Reveal Cognitive Impairment Networks in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Cognitive impairment, fatigue, and depression are common in multiple sclerosis (MS), potentially due to disruption of regional functional connectivity caused by white matter (WM) lesions. We explored whether WM lesions functionally connected to specific brain regions contribute to these MS‐related manifestations.
Alessandro Franceschini, Paolo Preziosa, Paola Valsasina, Damiano Mistri, Monica Margoni, Federica Esposito, Massimo Filippi, Maria A. Rocca   +7 more
wiley   +1 more source

Automatic Image Annotation for Semantic Image Retrieval

, 2007
This paper addresses the challenge of automatic annotation of images for semantic image retrieval. In this research, we aim to identify visual features that are suitable for semantic annotation tasks. We propose an image classification system that combines MPEG-7 visual descriptors and support vector machines.
Shao, Wenbin, Naghdy, G., Phung, Son Lam
openaire   +3 more sources

Decreased Serum 5‐HT: Clinical Correlates and Regulatory Role in NMJ of MG

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although 5‐Hydroxytryptamine (5‐HT) indirectly stimulates muscle contraction and participates in regulating Acetylcholine receptor (AChR) cluster homeostasis in cellular, animal, and clinical studies, evidence regarding its potential to modulate muscle contraction in myasthenia gravis (MG) remains limited.
Xinru Shen, Jing Zhang, Xinyue Zhou, Xiaoxiao Yu, Haodong Shang, Shufan Chen, Lulu Zhen, Jinru Wu, Guanlian Hu, Xiaoyan Zhu, Zhan Sun, Yiren Wang, Jiahui Wang, Jie Lv, Xue Zhao, Yingna Zhang, Wei Guo, Ying Peng, Feng Gao   +18 more
wiley   +1 more source

Portable Low‐Field Magnetic Resonance Imaging in People With Human Immunodeficiency Virus

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The aging population of people with HIV (PWH) raises heightened concerns regarding accelerated aging and dementia. Portable, low‐field MRI (LF‐MRI) is an innovative technology that could enhance access and facilitate routine monitoring of PWH.
Annabel Sorby‐Adams, Malachi Keo, Jennifer Guo, Daire Daly, Richard Ahern, Kimon Zachary, Gregory Robbins, Rajesh T. Gandhi, Bragi Sveinsson, Adam de Havenon, Kevin N. Sheth, Otto Rapalino, Juan Eugenio Iglesias Gonzales, W. Taylor Kimberly, Shibani S. Mukerji   +14 more
wiley   +1 more source

Multilabel Image Annotation Based on Double-Layer PLSA Model

The Scientific World Journal, 2014
Due to the semantic gap between visual features and semantic concepts, automatic image annotation has become a difficult issue in computer vision recently.
Jing Zhang, Da Li, Weiwei Hu, Zhihua Chen, Yubo Yuan   +4 more
doaj   +1 more source

Network Localization of Fatigue in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo, Jaakko Kungshamn, Albert Bellmunt‐Gil, Silvia Tommasin, Abhineet Ojha, Matias Viitala, Juho Aaltonen, Jyrki Lötjönen, Juha Koikkalainen, Pauli Ylikotila, Patrizia Pantano, Merja Soilu‐Hänninen, Juho Joutsa   +12 more
wiley   +1 more source

Model for Automatic Image Annotation Leveraging the OnTunAr Ontology

Computing Open
In this paper, we present the Automatic Annotation of Archaeological Images model. However, this model is composed of several methods for the analysis, description, and recognition of image components to improve the automatic annotation. Also, the latter
Marwa Ben Salah, Ameni Yengui, Mahmoud Neji   +2 more
doaj   +1 more source

Automatic Image Annotation using 2D MHMM [PDF]

, 2015
Automated Image Annotation is an important and challenging task in the field of computer vision and CBIR(Content-Based Image Retrieval). It has extensive use in research as well as personal fields.
Chhotray, Anuvab
core  

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky, Cara Joyce, H. Jeremy Bockholt, Paul A. Rudnick, William H. Adams, Fiona McAllister, Justin W. Smock, Michael A. Newton, Jane S. Paulsen   +8 more
wiley   +1 more source