Results 41 to 50 of about 335,380 (266)
Detection of Tampering by Image Resizing Using Local Tchebichef Moments
There are many image resizing techniques, which include scaling, scale-and-stretch, seam carving, and so on. They have their own advantages and are suitable for different application scenarios.
Dengyong Zhang +5 more
doaj +1 more source
Three-Channel Convolutional Neural Network for Polarimetric SAR Images Classification
Terrain classification is an important topic in polarimetric synthetic aperture radar (PolSAR) image processing and interpretation. A novel PolSAR classification method based on the three-channel convolutional neural network (Tc-CNN) is proposed and this
Wenqiang Hua, Wen Xie, Xiaomin Jin
doaj +1 more source
A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19)
A COVID-19, caused by SARS-CoV-2, has been declared a global pandemic by WHO. It first appeared in China at the end of 2019 and quickly spread throughout the world. During the third layer, it became more critical.
Sajid Ullah Khan +5 more
doaj +1 more source
ABSTRACT Background The Standards for Psychosocial Care for Children with Cancer and Their Families (“Standards”) are evidence‐based guidelines for psychosocial care in pediatric oncology. Care related to the three “Asking and Monitoring” Standards—Assessment of Psychosocial Needs, Assessment of Financial Needs, and Monitoring Neurocognitive Problems ...
Julia B. Tager +8 more
wiley +1 more source
ABSTRACT Background Pediatric thromboembolism is increasingly encountered in critical care. Systemic thrombolysis with tissue plasminogen activator (tPA) facilitates vessel or valve patency, yet pediatric‐specific protocols remain undefined, and safety concerns persist. Objective To evaluate the efficacy and safety of a tailored, prolonged systemic tPA
Eran Shostak +5 more
wiley +1 more source
Minimal Delay Violation-Based Cross-Layer Scheduler and Resource Allocation for DSL Networks
The quality of service of many modern communication systems depends on the delay performance of the underlying network. In digital subscriber line (DSL) networks, for example, crosstalk introduces competition for data rate among users, which influences ...
Jeremy Van den Eynde +3 more
doaj +1 more source
Global Efforts to Reduce Paediatric Cancer Care Disparities in Radiotherapy: A Decade Change
ABSTRACT Background We present an update on the status, needs and challenges faced by paediatric imaging and radiotherapy (RT) programmes globally after a previous survey conducted by the International Atomic Energy Agency (IAEA) 10 years prior. Methods We developed and distributed a 121‐question survey to radiation oncologists, medical physicists and ...
Raymond B. Mailhot Vega +10 more
wiley +1 more source
Mamba-convolution hybrid network for underwater image enhancement
Underwater imagery frequently exhibits low clarity and is subject to significant color distortion as a result of the inherent conditions of the marine environment and variations in illumination.
Hailan Chen +6 more
doaj +1 more source
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo +11 more
wiley +1 more source
Cascaded attention-induced difference representation learning for multispectral change detection
Change Detection (CD) is the process of recognizing and quantitatively evaluating changes in surface objects at the exact location but at different times from remote sensing images that may be caused by extreme heat events.
Wuxia Zhang +3 more
doaj +1 more source

