Has anyone else had issues converting Dicoms to niftis for the MGMT data, dataset 2? We were using dcm2niix We have found certain training cases that seem to have extra volumes, with slices sharing the same axial slice, specifically these cases: 01010 00834 00148 00147 00143 00137 00132 00120 00108 00107

Created by Kevin Lou kwlou
Hi, Since this is related to Task 2, can you please post this in Task 2 discussion at Kaggle?

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