Hi there,

I used DeepBraTumIA in the past, but the output images after segmentation, although isotropic, varied slightly in dimensions between data. I wanted to ask if it is possible to specify the dimensions to be isometric, specifically 240 x 240 x 155, to ensure consistency with other segmentation outputs (from other segmentation tools) for fair comparison. Is there a way to load raw DICOM or NIfTI images and standardize the dimensions to 240 x 240 x 155?

I tried loading isotropic data with dimensions 240 x 240 x 155 directly to perform only the segmentation, but I encountered an error indicating that the data should be in MNI space or something similar.

Thank you, and I look forward to hearing back from you soon