Results 41 to 50 of about 19,336 (308)
Spatial biology in cancer epigenetics
Spatial epigenomics combines molecular profiling with tissue architecture to reveal how gene regulation is organized within intact tissues. In cancer, these technologies uncover the mechanisms driving tumor heterogeneity and microenvironmental interactions, opening new opportunities for biomarker discovery and precision medicine.
Eva Crespo‐García, Manel Esteller
wiley +1 more source
Stereo matching with reflections and translucency [PDF]
In this paper, we address the stereo matching problem in the presence of reflections and translucency, where image formation can be modeled as the additive superposition of layers at different depth. The presence of such effects violates the Lambertian assumption underlying traditional stereo vision algorithms, making it impossible to recover component
Yanghai Tsin +2 more
openaire +1 more source
Stereo Matching Based On Election Campaign Algorithm
Stereo matching is one of the significant problems in the study of the computer vision. By getting the distance information through pixels, it is possible to reproduce a three-dimensional stereo.
Xie Qing Hua +3 more
doaj +1 more source
Evaluation of Stereo Matching Costs on Close Range, Aerial and Satellite Images [PDF]
In the last years, most dense stereo matching methods use evaluation on the Middlebury stereo vision benchmark datasets. Most recent stereo algorithms were designed to perform well on these close range stereo datasets with relatively small baselines and ...
Butenuth, Matthias +2 more
core
Importin 7 mediates the nuclear import of HIV‐1 integrase via a specific interacting interface
HIV‐1 integrase enables viral DNA integration into the host genome. By binding to the core domain of the host protein Importin 7 via its C‐terminal domain, the integrase is transported across the nuclear membrane into the nucleus, where integration of the viral genome into host DNA takes place. This translocation is a critical step for subsequent viral
Juana Bana +5 more
wiley +1 more source
Depth estimation is an active area of research in computer vision. When restricted to passive imaging, it is frequently approached as a stereo matching problem.
Daniel Vais, Yitzhak Yitzhaky
doaj +1 more source
Dense stereo matching has been widely used in photogrammetry and computer vision applications. Even though it has a long research history, dense stereo matching is still challenging for occluded, textureless and discontinuous regions. This paper proposed
Hua Liu +3 more
doaj +1 more source
ALStereo: Active learning for stereo matching [PDF]
With advancements in deep stereo matching, recent networks have achieved impressive accuracy in estimating depth information from image pairs. However, stereo matching networks require sufficient disparity labels, which always come at high annotation ...
Yu, X +6 more
core +1 more source
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie +8 more
wiley +1 more source
Optimization of greenhouse tomato localization in overlapping areas
Tomato localization is the main difficulty of tomato picking robots vision system. To provide robots vision system with the accurate position of tomatoes, this paper collects images with a binocular camera, provides the principle of binocular ranging ...
Guohua Gao, Shuangyou Wang, Ciyin Shuai
doaj +1 more source

