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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?

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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, ...

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