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

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IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/ct-training-and-validation-series-3d-automated-segmentation-inner-ear-using-u-net
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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”. 
提供机构:
Ognard, Julien; Attye, Arnaud; Lim, Jonathan
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