Results 31 to 40 of about 672,944 (266)
ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark +9 more
wiley +1 more source
Image Generation and Lesion Segmentation of Brain Tumors and Stroke Based on GAN and 3D ResU-Net
In recent years, with the development of medical image analysis, the image processing of brain tumor and stroke has been deeply studied. However, when processing clinical medical imaging data with different characteristics or information collected from ...
Mingkang Sun, Xiang Li, Weiye Sun
doaj +1 more source
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
The accessibility of very-high-resolution Remote Sensing (RS) near-infrared (NIR) imagery before the 2010s is limited. In addition, public annotated image datasets often used as benchmarks contain only RGB information.
Viktoria Kristollari +1 more
doaj +1 more source
We propose a method of enlarging the training dataset for a single-sample-per-person (SSPP) face recognition problem. The appearance of the human face varies greatly, owing to various intrinsic and extrinsic factors.
Yonggeol Lee, Sang-Il Choi
doaj +1 more source
Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
wiley +1 more source
Quantum generative adversarial networks with dual generators
Quantum generative adversarial networks (QGANs) have demonstrated strong capabilities in tasks like synthetic data generation and detecting anomalies. Recent developments have increasingly integrated traditional machine learning techniques to boost the ...
Quangong Ma +3 more
doaj +1 more source
SceEmoNet: A Sentiment Analysis Model with Scene Construction Capability
How do humans analyze the sentiments embedded in text? When attempting to analyze a text, humans construct a “scene” in their minds through imagination based on the text, generating a vague image.
Yi Liang +4 more
doaj +1 more source
ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa +7 more
wiley +1 more source
Decoupled Latent Diffusion Model for Enhancing Image Generation
Latent Diffusion Models have emerged as an efficient alternative to conventional diffusion approaches by compressing high-dimensional images into a lower-dimensional latent space using a Variational Autoencoder (VAE) and performing diffusion in that ...
Hyun-Tae Choi +2 more
doaj +1 more source

