Fig. 1.

Overview of SynthSeg⁺. (A) Inference pipeline. All modules are implemented as CNNs. (B) Outputs of the intermediate modules for three representative cases. On the first row, all modules obtain accurate results. On the second row, the denoiser corrects mistakes in the initial tissue classes (red boxes), ultimately leading to a good segmentation. Third, the very low tissue contrast of the image leads to a poor segmentation, but the automated QC correctly identifies it as unusable for subsequent analyses.