Learning without Real Data Annotations to Detect Hepatic Lesions in PET Images.

IEEE transactions on bio-medical engineering(2023)

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摘要
This study introduces an adaptable deep learning method for hepatic lesion identification in NETs, which can significantly reduce human effort for data annotation and improve model generalizability for lesion detection with PET imaging.
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关键词
Lesion detection,PET images,list mode,generative adversarial network,domain adaptation
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