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C^2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network
Ruizhi Wang, Xiangtao Wang, Jie Zhou +2
In clinical scenarios, multiple medical images with different views are usually generated simultaneously, and these images have high semantic consistency. However, most existing me…
AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image Segmentation
Xiangtao Wang, Ruizhi Wang, Thomas Lukasiewicz +1
Self-supervised masked image modeling (MIM) methods have shown promising performances on analyzing natural images. However, directly applying such methods to medical image segmenta…
MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical Report Generation
Ruizhi Wang, Xiangtao Wang, Zhenghua Xu +3
In clinical scenarios, multiple medical images with different views are usually generated at the same time, and they have high semantic consistency. However, the existing medical r…
MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation
Xiangtao Wang, Ruizhi Wang, Biao Tian +5
Existing self-supervised learning methods based on contrastive learning and masked image modeling have demonstrated impressive performances. However, current masked image modeling…