Results 181 to 190 of about 678,145 (379)
Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization. [PDF]
Subramanian M+3 more
europepmc +1 more source
Clinical Phenotyping of Long COVID Patients Evaluated in a Specialized Neuro‐COVID Clinic
ABSTRACT Objective To report Long COVID characteristics and longitudinal courses of patients evaluated between 4/14/21–4/14/22 at the University of Pennsylvania Neurological COVID Clinic (PNCC), including clinical symptoms, neurological examination findings, and neurocognitive screening tests from a standardized PNCC neurological evaluation approach ...
Luana D. Yamashita+7 more
wiley +1 more source
ABSTRACT Objective Increasing evidence shows that patients with intracerebral hemorrhage (ICH) can achieve better‐than‐expected outcomes with aggressive therapy. However, real‐world long‐term data, patient‐centered outcomes, and societal measures after maximal ICH treatment are lacking.
Anne Mrochen+11 more
wiley +1 more source
Objective Fibromyalgia is a chronic condition characterized by widespread musculoskeletal pain and fatigue. Almost everyone with fibromyalgia has sleep problems. We aimed to evaluate the effectiveness and safety of current interventions for the management of fibromyalgia‐related sleep problems.
Jemma Hudson+11 more
wiley +1 more source
An Efficiency Comparison of Two Content-Based Image Retrieval Systems, GIFT and PicSOM [PDF]
Mika Rummukainen+2 more
openalex +1 more source
Objective We aimed to assess differences in baseline characteristics, efficacy, and safety of advanced therapies between male and female patients with axial spondyloarthritis (axSpA) in randomized controlled trials (RCTs). Methods We conducted a systematic literature search for RCTs assessing the efficacy of advanced therapies in patients with axSpA ...
Angel Gao+5 more
wiley +1 more source
Human-Oriented Image Retrieval System (HORSE): A Neuro-Symbolic Approach to Optimizing Retrieval of Previewed Images [PDF]
Image retrieval remains a challenging task due to the complex interaction between human visual perception, memory, and computational processes. Current image search engines often struggle to efficiently retrieve images based on natural language descriptions, as they rely on time-consuming preprocessing, tagging, and machine learning pipelines.
arxiv
ImageGrouper: a group-oriented user interface for content-based image retrieval and digital image arrangement [PDF]
Munehiro Nakazato+2 more
openalex +1 more source
Objective Metabolic syndrome (MetS) is a known comorbidity of psoriatic arthritis (PsA) and is associated with PsA disease activity. We aimed to explore the association between MetS and radiographic features (peripheral and axial) in PsA. Methods We included patients with PsA followed at our prospective observational cohort for the period between 1978 ...
Fadi Kharouf+6 more
wiley +1 more source
Knowledge-aware Text-Image Retrieval for Remote Sensing Images [PDF]
Image-based retrieval in large Earth observation archives is challenging because one needs to navigate across thousands of candidate matches only with the query image as a guide. By using text as information supporting the visual query, the retrieval system gains in usability, but at the same time faces difficulties due to the diversity of visual ...
arxiv