Prostate cancer is a highly prevalent malignancy, and deep learning has significantly advanced di agnostic models based on multi-parametric MRI (mpMRI). However, the robustness of these models is threatened by adversarial attacks, potentially leading to fatal misdiagnoses and impeding clinical translation. Unlike natur...
Yu Zhang, Jun-Qiang Qiu, Dong-Hui Li et al.· IEEE journal of biomedical a...· 0 citations
A Prior-guided Uncertainty-aware Residual Diffusion model (PURD), designed to generate accurate and anatomically consistent multi-modal MR images, and adopts a residual diffusion framework-replacing traditional Gaussian diffusion-to more effectively capture subtle lesion details.
Bhatti Uzair Aslam, Xiao-Xiang Li, Wan-Ling Peng et al.· IEEE journal of biomedical a...· 0 citations
A labeled patch guidance (LPG) for patch-level interactive enhancement module that optimizes pseudo-label quality for unlabeled data by dynamically mining anatomical prior knowledge from labeled data is proposed.
Zhi-Yuan Zhang, Yu Zhang, Zi-Hao Zhou et al.· IEEE journal of biomedical a...· 0 citations
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