Search Results for author:
Found 1 papers, 0 papers with code
Neural network fast-classifies biological images using features selected after their random-forests-importance to power smart microscopy
In our assay, a 79. 6 $\pm$ 2. 4 % accurate classification of a cell took 68. 7 $\pm$ 3. 5 ms (mean $\pm$ SD, 5-fold cross-validation nested in 10 bootstrap repeats), corresponding to 14 cells per second, dispatched into 8 phases of the cell cycle using 12 feature-groups and operating a consumer market ARM-based embedded system.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
