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eess.IV2025
P3Net: Progressive and Periodic Perturbation for Semi-Supervised Medical Image Segmentation
Zhenyan Yao, Miao Zhang, Lanhu Wu +4
Perturbation with diverse unlabeled data has proven beneficial for semi-supervised medical image segmentation (SSMIS). While many works have successfully used various perturbation…
eess.IV2024
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation
Tingwei Liu, Miao Zhang, Leiye Liu +4
Recently, the Diffusion Probabilistic Model (DPM)-based methods have achieved substantial success in the field of medical image segmentation. However, most of these methods fail to…