Sentence examples for cell classification from inspiring English sources

The discovery led to the development of a cell classification system that is widely used in diagnosing cancer and other illnesses because every type of cell was found to have a unique surface marker.

It seems to be suitable for the HEp-2 cell classification task.

Blood samples were collected for cell classification and counting at 0, 1, and 2 h during extracorporeal circulation.

Strong illumination variation is a key challenge in the Human Epithelial Type 2 (HEp-2) cell classification task.

HEp-2 cell classification was performed using Step-Wise LineandDiscriminant Analysis (SWLDA) and Gaussian Mixture Model (GMM).

Most existing works on HEp-2 cell classification mainly focus on feature extraction, feature encoding and classifier design.

Using linear support vector machine (SVM), their method won the first prize in HEp-2 cell classification contest with around 69% of classification accuracy.

According to the forward scattering intensity and position information of cells, a data-mining method, support vector machines (SVMs), is applied for cell classification.

With the help of SVMs, the multi-dimensional analysis can be performed to significantly increase all figures of merit for cell classification.

The system now works on single-cell classification to recognize whether the images having candidate kinetoplast regions contain the true fluorescent kinetoplast.

After alemtuzumab induction, we observed a shift toward naïve B cells in peripheral blood, as determined by different B-cell classification schemes.