re-identification risk with diffusion models and compromised research potential

View the PDF file from the paper entitled Marshopia for fully mutilated magnetic resonance imaging: redefine identity with spread models and searches at risk, by Chenyu Gao and 13 other books

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a summary:MRI (MRI) is often applied before the general release to address privacy concerns. The near change of the face and laxatives has sparked discussions about the real ability of these technologies to ensure privacy as well as its effect on the clinic tasks. With the progress of deep obstetric models, the distortion of distortion can protect privacy. In addition, it is known that the changing Voxels contains valuable anatomical information, its potential to support research that exceeds the anatomical areas that are directly affected by distortion is still uncertain. To evaluate these considerations, we develop a pipeline to reshape faces in MRIS for a craved head using the successive possibility of proliferation (DPMS). DPMS is trained in images of 180 topics and tested on 484 invisible topics, 469 of whom are from a different data collection. To evaluate whether Voxels in distorting distortion contains useful information globally, we also expect the density in the calculated structural muscles (CT) to be of the face of the face in both the original MRI. Results show that DPMS can generate high -resolution faces that resemble the original faces of deformed images, with surface distances to the original faces much smaller than those in the average population (P <0.05). This performance also depends on the previously invisible data sets. As for the predictions of the radiation density in the muscles and skeleton, the use of deformed images leads to significantly weakened Spearman's correlation transactions compared to the use of original images (P <10-4). For a shin muscle, the link is statistically significant (p <0.05) عند استخدام الصور الأصلية ولكن ليس ذات دلالة إحصائية (p> 0.05) When applying any distortion method, indicating that distortion may not only fail to protect privacy but also eliminates valuable information.