Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets

doi:10.1371/journal.pcbi.1009879

Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets

Fig 18

MRCNN+Watershed workflow.

(A) Creation of instance masks for training MRCNN. (B) Example confocal slice. (C) Two-dimensional predictions by MRCNN. (D) Binary seed image created from identified cell regions in (C). (E) Same slice after 3D segmentation using watershed on the binary seed image. 3D, three-dimensional.

doi: https://doi.org/10.1371/journal.pcbi.1009879.g018