99m-Tc MDP Bone Scan Image Enhancement using Pipeline Application of Dynamic Stochastic Resonance Algorithm and Block-Matching 3D Filter. [PDF]
Indian J Nucl Med, 2023 Pandey AK +7 more
europepmc +1 more source
Block matching low-rank for ghost imaging
Optics Express, 2019 High-quality ghost imaging (GI) under low sampling is very important for scientific research and practical application. How to reconstruct high-quality image from low sampling has always been the focus of ghost imaging research. In this work, based on the hypothesis that the matrix stacked by the vectors of image's nonlocal similar patches is of low ...
Heyan Huang +3 more
openaire +3 more sources
Disparity estimation for stereo sequences based on adaptive size hierarchical block matching [PDF]
, 1995 M. Accame, Francesco G. B. De Natale
openalex +1 more source
Molecular Oncology, EarlyView.NAD+ regeneration by mitochondrial complex I NADH dehydrogenase is important for cancer cell proliferation. Specifically, NAD+ is necessary for the activities of NAD+‐dependent deacetylases SIRT3 and SIRT7, which suppress the expression of p21Cip1 cyclin‐dependent kinase inhibitor, an antiproliferative molecule, at the translational and transcriptional
Masato Higurashi +5 more
wiley +1 more source
A novel search method based on artificial bee colony algorithm for block motion estimation
EURASIP Journal on Image and Video Processing, 2017 The large amount of bandwidth that is required for the transmission or storage of digital videos is the main incentive for researchers to develop algorithms that aim at compressing video data while keeping their quality as high as possible.
Weiyu Yu, Dan Hu, Na Tian, Zhili Zhou
doaj +1 more source
Block-matching-based registration to evaluate ultrasound visibility of percutaneous needles in liver-mimicking phantoms. [PDF]
Med Phys, 2021 Sánchez-Margallo JA +7 more
europepmc +1 more source
Displacement field estimation and image segmentation using block matching enhanced by a neural network [PDF]
, 1996 Yong‐Sheng Chen, Chiou‐Shann Fuh
openalex +1 more source
Block-Matching Convolutional Neural Network for Image Denoising [PDF]
arXiv, 2017 There are two main streams in up-to-date image denoising algorithms: non-local self similarity (NSS) prior based methods and convolutional neural network (CNN) based methods. The NSS based methods are favorable on images with regular and repetitive patterns while the CNN based methods perform better on irregular structures.
arxiv
Molecular and functional profiling unravels targetable vulnerabilities in colorectal cancer
Molecular Oncology, EarlyView.We used whole exome and RNA‐sequencing to profile divergent genomic and transcriptomic landscapes of microsatellite stable (MSS) and microsatellite instable (MSI) colorectal cancer. Alterations were classified using a computational score for integrative cancer variant annotation and prioritization.
Efstathios‐Iason Vlachavas +15 more
wiley +1 more source
The Block Matching Algorithm and Its Use for Vehicle Motion Description
Communications, 2005 This paper deals with principles of Block Matching Algorithm (BMA) and its use for vehicle detection and tracking. The Block matching plays essential role in motion estimation employed in the MPEG compression standard. The current frame is divided by BMA
Martin Capka
doaj +1 more source