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Correcting Pseudo Labels with Label Distribution for Unsupervised Domain Adaptive Vulnerable Plaque Detection.

, , и . EMBC, стр. 3225-3228. IEEE, (2021)

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Huili Shi

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Zhanjun Shi

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Renhu Shi

 

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Weakly Supervised Vulnerable Plaques Detection by IVOCT Image., , и . ISBI, стр. 1983-1986. IEEE, (2020)DSTUNet: UNet with Efficient Dense SWIN Transformer Pathway for Medical Image Segmentation., , , , и . ISBI, стр. 1-5. IEEE, (2022)Meta Pixel Loss Correction for Medical Image Segmentation with Noisy Labels., , , , , и . MILLanD@MICCAI, том 13559 из Lecture Notes in Computer Science, стр. 32-41. Springer, (2022)Unsupervised Domain Adaptation by Cross-Prototype Contrastive Learning for Medical Image Segmentation., , , , , , , , , и . BIBM, стр. 819-824. IEEE, (2023)Lymphoma Recognition in Histology Image of Gastric Mucosal Biopsy with Prototype Learning., , , , , , и . EMBC, стр. 1-4. IEEE, (2023)Correcting Pseudo Labels with Label Distribution for Unsupervised Domain Adaptive Vulnerable Plaque Detection., , и . EMBC, стр. 3225-3228. IEEE, (2021)Semi-supervised Adversarial Learning for Diabetic Retinopathy Screening., , , и . OMIA@MICCAI, том 11855 из Lecture Notes in Computer Science, стр. 60-68. Springer, (2019)SRCNN: Cardiovascular Vulnerable Plaque Recognition with Salient Region Proposal Networks., , , , , и . ICGSP, стр. 38-45. ACM, (2018)Unsupervised Pre-Training of Deep Neural Classifiers., , , и . IDAACS, стр. 1083-1087. IEEE, (2023)