Skip to main content
Advertisement

< Back to Article

Diffusion model predicts the geometry of actin cytoskeleton from cell morphology

Fig 2

CNN method for the SFs segmentation.

(A) Preparation of training data. By utilizing the augmentation methods, the original 50 images are increased to 2000 for the CNN network to be trained. (B) The CNN network (U2-Net) is trained with the augmented SFs data. After sufficient training, the network can automatically segment the SFs from microscopic images.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1012312.g002