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CT-Phantom4Radiomics

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NCI Imaging Data Commons2026-06-27 收录
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https://portal.imaging.datacommons.cancer.gov/collections/ct_phantom4radiomics/
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The aims of this dataset are to determine the stability of radiomics features against computed tomography (CT) parameter variations and to study their discriminative power concerning tissue classification using a 3D-printed CT phantom based on real patient data . 4 tissue types (normal, benign cyst, hemangioma, and metastasis) were manually annotated. 238 CT series with 8 parameter variations of reconstruction algorithms, reconstruction kernels, slice thickness, and slice spacing are available. Please see the CT-Phantom4Radiomics wiki page to learn more about the images and to obtain any supporting metadata for this collection.
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