Sept. 30, 2022, 1:15 a.m. | Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama

cs.CV updates on arXiv.org arxiv.org

Background and objective: Sharing of medical data is required to enable the
cross-agency flow of healthcare information and construct high-accuracy
computer-aided diagnosis systems. However, the large sizes of medical datasets,
the massive amount of memory of saved deep convolutional neural network (DCNN)
models, and patients' privacy protection are problems that can lead to
inefficient medical data sharing. Therefore, this study proposes a novel
soft-label dataset distillation method for medical data sharing. Methods: The
proposed method distills valid information of medical …

arxiv data dataset data sharing distillation image image generation medical

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