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?
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, ...