Results 71 to 80 of about 57,862 (263)
Relative Age Position Learning for Face-Based Age Estimation
This study introduces the concept of relative age position learning to supplement the learning process for age estimation models. Drawing inspiration from feature recalibration modules that prioritize features based on their importance, a novel age-based
Sevara Amirullaeva, Ji-Hyeong Han
doaj +1 more source
ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta +6 more
wiley +1 more source
Feature representation is a crucial issue in multimodal image registration. The handcrafted features extracted by traditional methods are highly sensitive to nonlinear radiation differences, while supervised learning methods are limited by deficient ...
Zhen Han +6 more
doaj +1 more source
The Role of Hematopoietic Cell Transplantation in Ataxia‐Telangiectasia
ABSTRACT Background Ataxia‐telangiectasia (A‐T) is a DNA repair disorder characterized by neurodegeneration, immunodeficiency, and cancer predisposition. Hematopoietic cell transplantation (HCT) is an established therapy in related disorders such as Fanconi anemia (FA) and Nijmegen breakage syndrome (NBS), but its role in A‐T is unclear.
Laila Alkhouli +3 more
wiley +1 more source
A Feature Selection Approach for Emulating the Structure of Mental Representations
Tscherepanow M, Kortkamp M, Kühnel S, Helbach J, Schütz C, Schack T. A Feature Selection Approach for Emulating the Structure of Mental Representations. In: Lu B-L, Zhang L, Kwok J, eds.
Marco Kortkamp +14 more
core +1 more source
A Self-Representation Weighted-Based Density Peaks Clustering Method
The approach to calculating density significantly impacts the clustering efficacy of the Density Peak Clustering (DPC) method, with various density calculation methods tailored for different datasets.
Qiangguo Yu +4 more
doaj +1 more source
ABSTRACT Background Pediatric sarcomas are a heterogeneous group of tumors that contribute disproportionately to cancer mortality in children. Although congenital anomalies are among the strongest known risk factors for childhood cancer, the risk of specific sarcoma subtypes among affected individuals has not yet been thoroughly evaluated. Procedure We
Russ Wolters +17 more
wiley +1 more source
Supporting Survivor‐Centered Care Through Digital Health Integration
ABSTRACT Survivors of childhood cancer face barriers to receiving guideline‐based, long‐term follow‐up care. Two digital tools, Passport for Care (PFC) and Cancer SurvivorLink (SurvivorLink), address complementary gaps by enabling tailored survivorship care plan (SCP) generation, updating, storage, and sharing.
Jordan G. Marchak +15 more
wiley +1 more source
Feature-based representation for assembly modelling [PDF]
The aim of building an assembly model is to describe the component geometry and to define the relationships between parts of the final assembly. This requires a representation of features which include all the information needed to assemble the products ...
Wan Abdul Rahman Jauhari Bin Wan Harun (7204208) +1 more
core
Structure Preserving Non-negative Feature Self-Representation for Unsupervised Feature Selection
Inspired by the importance of self-representation and structure-preserving ability of features, in this paper, we propose a novel unsupervised feature selection algorithm named structure-preserving non-negative feature self-representation (SPNFSR).
Wei Zhou +3 more
doaj +1 more source

