3 accepted papers
To improve the accuracy and robustness of left ventricular segmentation, This paper proposes a diffusion probabilistic model-based left ventricular segmentation network (DPM-LVSN). DPM-LVSN integrates a U-shaped encoder-decoder for feature extraction, self-attention for semantic information, and a d…
In semi-supervised medical image segmentation, two main challenges arise. First, the quality of pseudo-labels generated by segmentation networks in data-limited scenarios is often poor, reducing segmentation accuracy. Second, many methods fail to effectively utilize the temporal context in video dat…
Due to its low storage cost and fast search speed, cross-modal retrieval based on hashing has attracted widespread attention and is widely used in real-world applications of social media search. However, most existing hashing methods are often limited by uncomprehensive feature representations and s…