Results 71 to 80 of about 167,485 (300)

Health‐Related Quality of Life and Symptom Severity Among Patients With PIK3CA‐Related Overgrowth Spectrum: A Mixed‐Methods Study to Understand Real‐World Experience With Alpelisib Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu   +8 more
wiley   +1 more source

Hospitalization Through Families’ Eyes: Comparing Inpatient Care Quality for Children With Sickle Cell Disease and Cystic Fibrosis in Canada

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a chronic, inherited hemoglobinopathy that requires frequent hospitalization for disease‐related complications. Canadian data on inpatient care is limited. This study compared caregiver‐reported hospital experiences of children with SCD to those with cystic fibrosis (CF), a chronic, autosomal recessive ...
Hailey M. Zwicker   +11 more
wiley   +1 more source

Person Re-identification using group context

open access: yes, 2018
International audienceThe person re-identification task consists in matching person images detected from surveillance cameras with non-overlapping fields of view. Most existing approaches are based on the person's visual appearance.
Stoian, Andrei   +4 more
core   +4 more sources

Night Person Re-Identification and a Benchmark

open access: yesIEEE Access, 2019
Person re-identification is an important problem in computer vision fields due to its widely application. However, most of existing person re-identification methods are evaluated in daytime scenarios which is still far from real applications.
Jian'an Zhang, Yuan Yuan, Qi Wang
doaj   +1 more source

Serological Benefit of SARS‐CoV‐2 Vaccination Relative to Infection in Children With Acute Lymphoblastic Leukemia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with acute lymphoblastic leukemia (ALL) are at risk of severe outcomes from SARS‐CoV‐2 (SCV2). In the post‐pandemic context, where most children have been infected with SCV2, there are limited data on whether vaccination remains beneficial in children with ALL.
Janna R. Shapiro   +11 more
wiley   +1 more source

Deep Sequencing of FLT3‐ITD Enables Response Evaluation and Post‐Treatment Monitoring in Childhood AML: An Exploratory Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm   +11 more
wiley   +1 more source

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

open access: yesIEEE 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   +2 more
doaj   +1 more source

Large margin relative distance learning for person re‐identification

open access: yesIET 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   +4 more
doaj   +1 more source

ANALYSIS OF DIFFERENT DEEP LEARNING APPROACHES BASED ON DEEP NEURAL NETWORKS FOR PERSON RE-IDENTIFICATION [PDF]

open access: yesCarpathian Journal of Electrical Engineering, 2023
In this work, different deep learning approaches based on deep neural networks for person re-identification were analyzed. Both identification and re-identification of people are frequently required in various fields of human life.
Adnan RAMAKIC   +2 more
doaj  

Continuous Learning without Forgetting for Person Re-Identification

open access: yes, 2019
Deep learning-based person re-identification faces a scalability challenge when the target domain requires continuous learning. Service environments, such as airports, need to recognize new visitors and add new cameras over time.
Sugianto, Nehemia   +9 more
core   +1 more source

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