Results 71 to 80 of about 2,995,343 (301)
Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari +5 more
wiley +1 more source
Occluded Person Retrieval with Hierarchical Feature Optimization
Occluded person retrieval aims to match images from occluded pedestrians. It pushes forward progress of person retrieval towards applications in real-world scenarios, thus attracting increasing attention in recent years.
Xiang, W +6 more
core +1 more source
Feature Selection via Coalitional Game Theory [PDF]
, 2007 We present and study the contribution-selection algorithm (CSA), a novel algorithm for feature selection. The algorithm is based on the multiperturbation shapley analysis (MSA), a framework that relies on game theory to estimate usefulness. The algorithm
Dror, G., Cohen, S. B., Ruppin, E.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz +6 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad +9 more
wiley +1 more source
Ensemble Feature for Person Re-Identification
CoRR, 2019 In person re-identification (re-ID), the key task is feature representation, which is used to compute distance or similarity in prediction. Person re-ID achieves great improvement when deep learning methods are introduced to tackle this problem. The features extracted by convolutional neural networks (CNN) are more effective and discriminative than the
Jiabao Wang 0001 +2 more
openaire +3 more sources
LAF: Enhancing person re-identification via Latent-Assisted Feature Fusion
Alexandria Engineering JournalPerson re-identification (Re-ID) in real-world scenarios is challenged by occlusions, viewpoint variations, and individuals with similar attributes. Existing methods predominantly rely on salient regions, yet such regions often become unreliable under ...
Minglang Li +3 more
doaj +1 more source
Person Re-Identification Net of Spindle Net Fusing Facial Feature
Xibei Gongye Daxue Xuebao, 2019 In the field of person re-identification, the extraction of pedestrian features is mainly focused on the extraction of features from the whole pedestrian or limb torso, and the facial features are less used.
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Reduced bone mineral density (BMD) has been reported in survivors of childhood and young adult acute lymphoblastic leukaemia (ALL); however, data from cohorts treated with contemporary protocols and including matched controls remain limited.
Karen Schow Jensen +10 more
wiley +1 more source
The first Global Conference on Person-Centred Care : knowledge(s) and innovations for health in changing societies : abstract book [PDF]
This is the abstract book for the first Global Conference on Person-Centred Care (GCPCC), taking place in Gothenburg, Sweden, from 13th–16th May, 2024.
Global Conference on Person-Centred Care 1 2024 Göteborg
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