Results 41 to 50 of about 361,099 (313)
Detection of Tampering by Image Resizing Using Local Tchebichef Moments
Applied Sciences, 2019 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
A novel CT image de-noising and fusion based deep learning network to screen for disease (COVID-19)
Scientific Reports, 2023 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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background An internal tandem duplication in the gene encoding Fms‐like tyrosine kinase 3 (FLT3‐ITD) is associated with high relapse risk and poor prognosis in acute myeloid leukemia (AML) and plays a crucial role in treatment decisions. Measurable residual disease (MRD) analysis of FLT3‐ITD during and after treatment has shown prognostic ...
Sofie Johansson Alm +11 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Claudin‐6 has emerged as a promising immunotherapeutic target, yet protein‐level data in atypical teratoid/rhabdoid tumors (AT/RTs) have been inconsistent. We analyzed 36 well‐characterized AT/RT samples and found membranous claudin‐6 protein expression in 58% of cases, with striking enrichment in the molecular subgroup AT/RT‐TYR (100%) and ...
Victoria E. Fincke +4 more
wiley +1 more source
Three-Channel Convolutional Neural Network for Polarimetric SAR Images Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 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
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Cascaded attention-induced difference representation learning for multispectral change detection
International Journal of Applied Earth Observations and Geoinformation, 2023 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
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, 2022 NASA’s High-End Computing Capability (HECC) facility in NASA’s Advanced Supercomputing (NAS) division provides considerable resources and services to current and future Science Mission Directorate missions and projects. As part of the support for all the Agency’s Mission Directorates, half of the HECC compute and storage capacity is allocated to the ...
Jon M. Jenkins +5 more
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) involvement in childhood acute lymphoblastic leukemia (ALL) is assessed by cell counting and cytomorphology from cerebrospinal fluid (CSF) and is used for treatment stratification worldwide. The ratio of “CNS2” patients in clinical trials ranges from 3% to 40%, with unclear prognostic significance ...
Laura Almási +14 more
wiley +1 more source
Mamba-convolution hybrid network for underwater image enhancement
Scientific ReportsUnderwater 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
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Agriculture, 2022 High-frequency imaging characteristics allow a geostationary satellite (GSS) to capture the diurnal variation in vegetation canopy reflectance spectra, which is of very important practical significance for monitoring vegetation via remote sensing (RS ...
Yinghao Lin +6 more
doaj +1 more source