Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
The venous confluence may serve as a novel landmark to predict the running course of the SBRN.
Similar(59)
The two-tier approach of Valstar et al. [70] uses in the first level surrounding image information to predict landmark location via support vector regression (SVR), and in the second level, the global shape information via a Markov Network.
Valstar et al. [70],2010 SVRs are trained to predict the landmark locations using RoI samples.
Then, measurements between landmarks and CSP are used to predict CSP's location zone.
To define anatomic landmarks that can be used to predict insertions of the diaphragm on chest radiographs and to estimate diaphragm length.
Then, with these new landmark weights, an updated SVM is trained to predict new pseudo-labels for the unlabeled target instances.
A Landmark approach using a non-parametric prediction was also recently proposed to predict a long-term outcome accounting for a short-term event [ 18].
The Kalman filter was used to predict the locations of landmarks and a better performance was achieved.
Therefore, we need to predict familiarity scores of workers on landmarks using the latent similarity between workers and that of landmarks.
Assuming the same average population parameters with different landmark times, we assessed the ability of the model to predict EFS at 2 years.
For example, DragonGSF and DragonPF use CpG islands as a global landmark and integrate additional attributes using an Artificial Neural Networks (ANN) to predict TSSs within the ± 3700 bps of CpG islands [ 26, 29].
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