Sentence examples for visualize feature from inspiring English sources

Exact(2)

We present an integrative analysis tool to inter-connect disease subphenotypes and visualize feature intensity patterns.

This may be not only helpful to visualize feature representation but also contribute to analyze the reason of some incorrect classification results for designed feature.

Similar(58)

Grant could also look at a map and visualize features of geography and topography he had never seen.

Zeiler and Fergus [15] introduced the process of deconvolution as a technique to visualize features that are learned by a ConvNet.

High-resolution X-ray computed tomography, a completely non-destructive technique that can be used to visualize features in the interior of opaque solids, was successfully adapted in a novel manner to examine the transport dynamics of methanol into glassy poly methyl methacrylate) discs synthesized by an iniferter-mediated free radical polymerization.

A goal of our work was to determine if we could see these structures for virus imaged in situ (and without digestion) and if so, to determine if the multiple tilt series acquisition and processing schemes help visualize features otherwise seen only in higher resolution studies of these fiber-free isolated capsids.

The use of multiple modalities allows us to combine the complementary strengths of each modality to better visualize features of interest.

This indicates that MRI seems to be able to visualize features underlying crepitus, while CR is not.

Light microscopy and scanning electron microscopy have been used to characterize the arrangement of endomysial collagen, which interconnects adjacent myocytes, in considerable detail (6, 35) and also to visualize features of the perimysial collagen network (6, 27, 30, 35, 36).

These findings were used to design an exposure filter that can be applied to the movie frames, allowing Grant and Grigorieff to visualize features of the virus that had not previously been observed by cryo-EM.

Since it is difficult to visualize features spanning 18 dimensions, we trained a classification model on the 502 model results to identify the parameters that are most predictive of beneficial results.

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