MIBLAB test data
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Description A heterogeneous collection of source data used for testing or debugging miblab code. Datasets test_data_post_contrast_dixon This dataset contains anonymized MRI Dixon sequences acquired post-contrast for use in testing kidney segmentation algorithms. The data includes four image series derived from the Dixon method: In-Phase Out-of-Phase Water Fat The dataset was selected to support deep learning model validation for automated kidney segmentation in post-contrast abdominal MRI scans. Contents: 1 ZIP file containing 4 DICOM series: Dixon_post_contrast_in_phase Dixon_post_contrast_out_phase Dixon_post_contrast_water Dixon_post_contrast_fat The data presented in this record were generated as part of the BEAt-DKD (Biomarker Enterprise to Attack Diabetic Kidney Disease) project, which aims to improve understanding and treatment of diabetic kidney disease.
