Table 27 Questionnaire.

From: A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans

#

Evaluation criteria

Rating scale

1

2

3

4

5

1

Tumor boundary accuracy (how precisely are tumor margins captured?)

2

Segmentation interpretability (how clear is the distinction between tumor and normal tissue?)

3

Classification confidence (do the classifications align with your expectations?)

4

Image quality after processing (clarity, contrast, noise suppression)

5

Usability of visual outputs for diagnosis (ease of understanding and integration into workflow)

6

Overall diagnostic utility (is this system useful as a decision-support tool?)

  1. 1 = not confident, 2 = low confidence, 3 = moderate confidence, 4 = confident, 5 = very confident.