Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets
Fig 5
(A) Results of VJI metric from the 5 segmentation pipelines. Note that VJI is computed for each pair of segmented image/ ground truth image, and so the VJI statistics shown above are computed on the values of VJI of the 10 3D test images for each pipeline. (B) and (C) shows rates of over- and undersegmentation, which is computed using a segmented stack and corresponding ground truth stack as input. The distributions shown here are estimated over the results from the 2 test datasets TS1 and TS2. (D) Example segmentation results by 5 pipelines on a test image slice. 3D, three-dimensional; VJI, volume-averaged Jaccard index.