Results 61 to 70 of about 414,061 (317)
Joint variation and ZhuYin dataset for Traditional Chinese document enhancement
Digital documents play a crucial role in contemporary information management. However, their quality can be significantly impacted by various factors such as hand-drawn annotations, image distortion, watermarks, stains, and degradation.
Shi-Wei Lo, Hsiu-Mei Chou, Jyh-Horng Wu
doaj +1 more source
Cardiac image segmentation by random walks with dynamic shape constraint
The quantitative analysis of the left ventricle (LV) contractile function is one of the key steps in the assessment of cardiovascular disease. Such analysis greatly depends on the accurate delineation of LV boundary from cardiac sequences.
Xulei Yang +7 more
doaj +1 more source
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
High Performance Computing For All [PDF]
A Consortium of four partners - the University of Kent, University of Southampton, University of Wales College of Cardiff and Queen Mary and Westfield College have been pooling efforts to produce hypertext courseware to help teach High Performance ...
Allwright, James +7 more
core
State-of-the-Art in Parallel Computing with R [PDF]
R is a mature open-source programming language for statistical computing and graphics. Many areas of statistical research are experiencing rapid growth in the size of data sets. Methodological advances drive increased use of simulations.
Hao Yu +11 more
core +1 more source
This work proposes a framework for projection-based model order reduction (MOR) of computational models aiming at a mechanical analysis of abdominal aortic aneurysms (AAAs).
Alexander Schein, Michael W. Gee
doaj +1 more source
Challenges in High-Performance Computing
High-Performance Computing, HPC, has become one of the most active computer science fields. Driven mainly by the need for high processing capabilities required by algorithms from many areas, such as Big Data, Artificial Intelligence, Data Science, and subjects related to chemistry, physics, and biology, the state-of-art algorithms from these fields are
Philippe Olivier Alexandre Navaux +2 more
openaire +2 more sources
ABSTRACT Background Wilms tumor (WT) treatment imposes a significant time burden on patients and their families. Time toxicity is a patient‐centered metric that quantifies the burden of healthcare interaction. We sought to define time toxicity in the first year after diagnosis of WT and hypothesized that it would increase as tumor stage and treatment ...
Caleb Q. Ashbrook +6 more
wiley +1 more source
Simulation of GHz ultrasonic wave piezoelectric instrumentation for Fourier transform computation
The recent emerging alternative to classic numerical Fast Fourier transform (FFT) computation, based on GHz ultrasonic waves generated from and detected by piezoelectric transducers for wavefront computing (WFC), is more efficient and energy-saving.
Zaifeng Yang +3 more
doaj +1 more source
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

