Results 51 to 60 of about 3,073,916 (262)
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga +56 more
wiley +1 more source
This is an article in the field of mining engineering. With the increasing application of cyclone in the field of mineral processing, the influence of its operating factors on the separation performance has been paid more and more attention in the ...
Longfei CONG +3 more
doaj +1 more source
LSTM Network and OCR Performance for Classification of Decimal Dewey Classification Code
Background of the study: Giving book code by a librarian in accordance with the Decimal Dewey Classification system aims to facilitate the search for books on the shelf precisely and quickly.
Yesy Diah Rosita +1 more
doaj +1 more source
The aim of this study was to analyse the short-distance sprint performance (SDSP) differences between functional International Wheelchair Basketball Federation (IWBF) classes in elite wheelchair basketball (WB) women players.
Adrián García-Fresneda +1 more
doaj +1 more source
ABSTRACT Background/Objectives Osteosarcoma is a radioresistant tumor that may benefit from stereotactic body radiation therapy (SBRT) for locoregional control in metastatic/recurrent disease. We report institutional practice patterns, outcomes, toxicity, and failures in osteosarcoma patients treated with SBRT.
Jenna Kocsis +13 more
wiley +1 more source
Lifestyle Behaviors and Cardiotoxic Treatment Risks in Adult Childhood Cancer Survivors
ABSTRACT Background Higher doses of anthracyclines and heart‐relevant radiotherapy increase cardiovascular disease (CVD) risk. This study assessed CVD and CVD risk factors among adult childhood cancer survivors (CCSs) across cardiotoxic treatment risk groups and examined associations between lifestyle behaviors and treatment risks.
Ruijie Li +6 more
wiley +1 more source
Deep Neural Networks with Transfer Learning for Medical Image Classification [PDF]
Medical image classification is a crucial component in the aid of clinical diagnosis and disease screening. Deep learning models usually suffer from a lack of data as well as low interpretability in the medical imaging context.
Joshi Gajanan
doaj +1 more source
Exploring Symmetry of Binary Classification Performance Metrics [PDF]
Selecting the proper performance metric constitutes a key issue for most classification problems in the field of machine learning. Although the specialized literature has addressed several topics regarding these metrics, their symmetries have yet to be ...
Aguayo-González, Francisco (Coordinador) +5 more
core
Reducing Model Complexity for DNN Based Large-Scale Audio Classification
Audio classification is the task of identifying the sound categories that are associated with a given audio signal. This paper presents an investigation on large-scale audio classification based on the recently released AudioSet database.
Lee, Tan, Wu, Yuzhong
core +1 more source
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed +5 more
wiley +1 more source

