Results 71 to 80 of about 1,188,974 (311)
Improvement of Harris Algorithm Based on Gaussian Scale Space [PDF]
Engineering and Technology Journal, 2019 Features is the description of the image contents which could be corner, blob or edge. Corners are one of the most important feature to describe image, therefore there are many algorithms to detect corners such as Harris, FAST, SUSAN, etc.
Abdul Amir Karim, Rafal Sameer
doaj +1 more source
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
2D-LWR in large-scale network with space dependent fundamental diagram [PDF]
, 2018 International audienceTraffic modeling of large-scale urban networks is a challenging task. In the literature, the network is mainly assumed to be homogeneous.
Carlos Canudas-de-Wit +5 more
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Molecular Oncology, EarlyView.Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
Earth and Planetary PhysicsThe CUG_CLMFM3D series comprises high-resolution three-dimensional lithospheric magnetic field models for China and its surroundings. The first version, CUG_CLMFM3Dv1, is a spherical cap harmonic model integrating the WDMAMv2 (World Digital Magnetic ...
Pan Zhang +7 more
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Molecular Oncology, EarlyView.We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric +10 more
wiley +1 more source
Scale-covariant and scale-invariant Gaussian derivative networks [Elektronisk resurs]
, 2020 This article presents a hybrid approach between scale-space theory and deep learning, where a deep learning architecture is constructed by coupling parameterized scale-space operations in cascade.
Lindeberg, Tony,
core
A scale-space approach to nonlocal optical flow calculations
, 1999 This paper presents an interpretation of a classic optical flow method by Nagel and Enkelmann as a tensor-driven anisotropic diffusion approach in digital image analysis.
Alvarez, Luis +3 more
core +1 more source
A cubed-sphere based method for global and regional modeling of the lithospheric magnetic field
Earth and Planetary PhysicsThe Earth’s magnetic field, which has been extensively observed from ground to satellite altitudes over several decades, originates from multiple sources, such as the core dynamo, the conductive mantle, the magnetized lithosphere, and the space current ...
Liang Yin +5 more
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Computing an Exact Gaussian Scale-Space
Image Processing On Line, 2016 Gaussian convolution is one of the most important algorithms in image processing. The present work focuses on the computation of the Gaussian scale-space, a family of increasingly blurred images, responsible, among other things, for the scale-invariance ...
Ives Rey Otero, Mauricio Delbracio
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