Which evaluation methods can I use for image segmentation? I implemented an image segmentation pipeline and I trained it on the DICOM dataset. I compared the results of the model with manual segmentation to find the accuracy. Is there other methods for evaluation?
See:


  Martin Thoma: A Survey of Semantic Segmentation, Section III


Subsection A is about metrics and B is about datasets.

Metrics include: accuracy, IoU, frequency weighted IoU, F-beta score, speed, ...