Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets
Fig 1
Generic workflow of a DL-based image segmentation pipeline.
The DL network is first trained to produce a semantic segmentation which corresponds as closely as possible to a given ground truth. The trained network is then used to segment unseen images. The resulting semantic segmentation is then further processed to obtain the final instance segmentation. DL, deep learning.