Your English writing platform
Discover LudwigExact(3)
For this analysis, we performed image alignment and statistical parametric mapping of images of a) fractional anisotropy (FA) and b) trace of the diffusion tensor (TrD) [48].
The mapping of images in order to achieve biomedical atlases integration may require alignment representations of anatomy differing in structure and domain coverage.
It is hoped that by having a mechanism to describe anatomical space using fiducial points and a set of spatial relations can guide the mapping of images across biomedical atlases to facilitate the integration of these data sources.
Similar(56)
Image-based calibration is learned through the transformation H, where mapping of image pixels on the ground plane corresponds to the longitude and latitude coordinates of maps.
In his own words, FreeSpeech helps create maps of images to represent ideas in a completely language-independent way.
Different computational models have been proposed to determine saliency maps of images [21, 22].
Due to its capability of learning high-level semantic features, a CNN is effective for estimating the saliency maps of images and has been used for saliency detection [27, 28].
where,, and. Figure 13 The relation maps of image quality to.
This is shown in the next section, by creating a similarity map of image M for each size onto image I.
For instance, it might resemble the pinwheel map of image orientation in visual cortex, where adjacent orientations are arranged like spokes around a central point (Bonhoeffer and Grinvald 1991).
This method uses a non-linear mapping of the images to a reference anatomical atlas to apply voxel voxel correlation between the images.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com