CT TRAINING AND VALIDATION SERIES FOR 3D AUTOMATED SEGMENTATION OF INNER EAR USING U-NET ARCHITECTURE DEEP-LEARNING MODEL

This data set contains: - Training dataset: 271 CT-scans of innerearsused for optimization and training of the model. - Validation dataset: 70 CT-scans of innerearsused for external validation. - U-net architecture deep-learningmodel'sweightafteroptimized training. - All manual segmentations performed for bothdatasets. - All post-processedautomated segmentations performed by the model for bothdatasets. All CT-scans are related to matchingautomated and manual segmentations and have been namedidentically. Example : CT-scan “TDMvalext001“ in folder “Validation CT-scans isrelated to “TDMvalext001” manual segmentation in folder “Validation manual segmentation”, and to “TDMvalext001_PRED” in folder “Validation automated segmentation”.