Results 61 to 70 of about 1,288,582 (274)

Psychosocial Outcomes in Patients With Endocrine Tumor Syndromes: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The combination of disease manifestations, the familial burden, and varying penetrance of endocrine tumor syndromes (ETSs) is unique. This review aimed to portray and summarize available data on psychosocial outcomes in patients with ETSs and explore gaps and opportunities for future research and care.
Daniël Zwerus, Floortje Strobbe, Annemarie A. Verrijn Stuart, Hanneke M. van Santen, Gerlof D. Valk, Sasja A. Schepers, Rachel S. van Leeuwaarde   +6 more
wiley   +1 more source

End-to-End Occluded Person Re-Identification With Artificial Occlusion Generation

IEEE Access
In recent years, the task of person re-identification (Re-ID) has improved considerably with the advances in deep learning methodologies. However, occluded person Re-ID remains a challenging task, as parts of the body of the individual are frequently ...
Leonardo Capozzi, Jaime S. Cardoso, Ana Rebelo   +2 more
doaj   +1 more source

Nutritional and Behavioral Intervention for Long‐Term Childhood Acute Leukemia Survivors With Metabolic Syndrome

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine, Béliard Sophie, Renard Cécile, Caussy Cyrielle, Hamidou Zeinab, Romano David, Gacem Mélanie, Petit Arnaud, Saultier Paul, Borentain Patrick, Michel Gérard   +10 more
wiley   +1 more source

GPAN-PS: Global-Response Pedestrian Attention Network for End-to-End Person Search

IEEE Access
Person search, which involves identifying target pedestrians in extensive galleries through person detection and re-identification, has experienced significant advancements across various applications.
Linlin Zheng, Dezhi Han, Xiaoqi Xin
doaj   +1 more source

Large margin relative distance learning for person re‐identification

IET Computer Vision, 2017
Distance metric learning has achieved great success in person re‐identification. Most existing methods that learn metrics from pairwise constraints suffer the problem of imbalanced data. In this study, the authors present a large margin relative distance
Husheng Dong, Shengrong Gong, Chunping Liu, Yi Ji, Shan Zhong   +4 more
doaj   +1 more source

MSBA: Multiple Scales, Branches and Attention Network With Bag of Tricks for Person Re-Identification

IEEE Access, 2020
Person re-identification (Re-ID) has become a hot topic in both research and industry. We joined in a person Re-ID challenge of the First National Artificial Intelligence Challenge (China, 2019) and found some model designs and training tricks work great
Hanlin Tan, Huaxin Xiao, Xiaoyu Zhang, Bin Dai, Shiming Lai, Yu Liu, Maojun Zhang   +6 more
doaj   +1 more source

Segment attention‐guided part‐aligned network for person re‐identification

Electronics Letters, 2021
Part misalignment of the human body caused by complex variations in viewpoint and pose poses a fundamental challenge to person re‐identification. This letter examines Res2Net as the backbone network to extract multi‐scale appearance features. At the same
Wen Wang, Yongwen Liu, Gaoyun An
doaj   +1 more source

Multi-signature based person re-identification

Electronics Letters, 2012
A novel appearance-based method for person re-identification is proposed. The approach exploits three local features to extract the shape and the chromatic appearance of an individual. Robustness against low resolution images, viewpoint and illumination changes, occlusions and pose variations is achieved by a novel signature.
MARTINEL, Niki, FORESTI, Gian Luca
openaire   +2 more sources

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard, Hital Patel, Paula C. Vincent, Justine Kahn, Kira Bona, Thai Hoa Tran, Elisa M. Rodriguez, Kristopher Attwood, Kara M. Kelly   +8 more
wiley   +1 more source

Multi‐stage ranking approach for fast person re‐identification

IET Computer Vision, 2018
One of the goals of person re‐identification systems is to support video‐surveillance operators and forensic investigators to find an individual of interest in videos acquired by a network of non‐overlapping cameras. This is attained by sorting images of
Bahram Lavi Giorgio Fumera, Fabio Roli
doaj   +1 more source