Results 91 to 100 of about 287,772 (335)
Clinically Relevant Outcome Measures in Women With Adrenoleukodystrophy
ABSTRACT Adrenoleukodystrophy is a rare inherited peroxisomal disease caused by pathogenic variants in the ABCD1 gene located on the X chromosome. Although the most severe central nervous system and adrenal complications typically affect only men with adrenoleukodystrophy, the majority of women develop myeloneuropathy symptoms in adulthood.
Chenwei Yan +3 more
wiley +1 more source
Semantic Text Segmentation from Synthetic Images of Full-Text Documents
An algorithm (divided into multiple modules) for generating images of full-text documents is presented. These images can be used to train, test, and evaluate models for Optical Character Recognition (OCR).
Lukáš Bureš +4 more
doaj +1 more source
Objective The aim of this systematic review was to synthesize the economic impact of rheumatoid arthritis (RA) on households, health systems, and society in low‐ and middle‐income countries (LMICs). Methods Electronic databases such as PubMed, Web of Science, and CINAHL were searched using keywords related to RA and cost of illness.
Tadesse Gebrye +6 more
wiley +1 more source
Knee Crepitus and Osteoarthritis Features in Young Adults Following Traumatic Knee Injury
Objective This study explored the association between knee crepitus and the presence, and worsening, of structural osteoarthritis features and self‐reported outcomes in young adults following traumatic knee injury. Methods One year following anterior cruciate ligament reconstruction (ACLR), 112 participants (41 female participants; median age 28 years ...
Jamon L. Couch +8 more
wiley +1 more source
Unsupervised Scene Image Text Segmentation Based on Improved CycleGAN
Scene image text segmentation is an important task in computer vision, but the complexity and diversity of backgrounds make it challenging. All supervised image segmentation tasks require paired semantic label data to ensure the accuracy of segmentation,
Xian Liu, Fang Yang, Wei Guo
doaj +1 more source
There are two approaches for text segmentation by language: first, assuming that language changes happen in the “border” between sentences (never within a sentence); second, assuming that language changes can happen anyplace in the text. This work presents methods for both types of text’s segmentation by languages.
openaire +4 more sources
Handwriting segmentation of unconstrained Oriya text
Segmentation of handwritten text into lines, words and characters is one of the important steps in the handwritten recognition system. For the segmentation of unconstrained Oriya handwritten text into individual characters, a water reservoir-concept based scheme is proposed in this paper. Here, at first, the text image is segmented into lines, and then
N. Tripathy, U. Pal
openaire +2 more sources
Objective This systematic review aimed to assess the diagnostic accuracy of algorithms used to identify rheumatoid arthritis and juvenile idiopathic arthritis in electronic health records. Methods We searched Medline, Embase, and Cochrane Central Register for Controlled Trials databases and included studies that validated case definitions against a ...
Constanza Saka‐Herrán +10 more
wiley +1 more source
Survey on Natural Scene Text Recognition Methods of Deep Learning [PDF]
Natural scene text recognition holds significant value in both academic research and practical applications, making it one of the research hotspots in the field of computer vision.
ZENG Fanzhi, FENG Wenjie, ZHOU Yan
doaj +1 more source
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source

