Results 201 to 210 of about 111,250 (255)

Diagnostic value of subtraction CT in evaluating the efficacy of transcatheter arterial chemoembolization-treated hepatocellular carcinoma patients compared to conventional CT and MRI. [PDF]

Quant Imaging Med Surg
Ding F, Duan F, Mao M, Liu W, Zou H, Ma Z, Hu F.   +6 more
europepmc   +1 more source

Beyond Membrane Potential: Exploiting Signal Complexity in Genetically Encoded Voltage Indicators. [PDF]

Sensors (Basel)
Frankiv N, Lee H, Baker BJ.
europepmc   +1 more source

Magnesium film-over-nanospheres (FONs) for surface-enhanced Raman scattering.

Faraday Discuss
Ten A, Lomonosov V, Pehlivan ZS, Ringe E.   +3 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Warping background subtraction

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010
We present a background model that differentiates between background motion and foreground objects. Unlike most models that represent the variability of pixel intensity at a particular location in the image, we model the underlying warping of pixel locations arising from background motion.
Teresa Ko, Stefano Soatto, Deborah Estrin   +2 more
openaire   +1 more source

Background Subtraction on Distributions

2008
Environmental monitoring applications present a challenge to current background subtraction algorithms that analyze the temporal variability of pixel intensities, due to the complex texture and motion of the scene. They also present a challenge to segmentation algorithms that compare intensity or color distributions between the foreground and the ...
Teresa Ko, Stefano Soatto, Deborah Estrin   +2 more
openaire   +1 more source

Simple background subtraction constraint for weakly supervised background subtraction network

2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019
Recently, background subtraction based on deep convolutional neural networks has demonstrated excellent performance in change detection tasks. However, most of the reported approaches require pixel-level label images for training the networks. To reduce the cost of rendering pixel-level annotation data, weakly supervised learning approaches using frame-
Tsubasa Minematsu, Atsushi Shimada 0001, Rin-Ichiro Taniguchi   +2 more
openaire   +1 more source