Benchmarking of deep learning algorithms for 3D instance segmentation of confocal image datasets
Fig 7
(A) A test image after applying Gaussian noise (var 0.04, 0.08). (B) Variation of segmentation accuracy (VJI) with 3 Gaussian noise variances. (C) Variation in rates of oversegmentation. (D) Variation in rates of undersegmentation. Note that for noise variance of 0.08, Cellpose is unable to identify cells. (E) Example results from the 5 pipelines under the impact of image noise (Gaussian noise variance 0.08). PSNR, peak signal-to-noise ratio; VJI, volume-averaged Jaccard index.