Synthesis of CT images from digital body phantoms using CycleGAN [dataset]
收藏DataCite Commons2023-02-23 更新2025-04-17 收录
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https://heidata.uni-heidelberg.de/citation?persistentId=doi:10.11588/data/7NRFYC
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资源简介：
The potential of medical image analysis with neural networks is limited by the restricted availability of extensive data sets. The incorporation of synthetic training data is one approach to bypass this shortcoming, as synthetic data offer accurate annotations and unlimited data size. We evaluated eleven CycleGAN for the synthesis of computed tomography (CT) images based on XCAT body phantoms.
提供机构：
heiDATA
创建时间：
2022-07-06
