1 citations · 3 across the 4 of their papers we have counts for
4 papers
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation
Yixuan Wu, Bo Zheng, Jintai Chen +2
As deep learning methods continue to improve medical image segmentation performance, data annotation is still a big bottleneck due to the labor-intensive and time-consuming burden…
GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels
Yixuan Wu, Jintai Chen, Jiahuan Yan +3
Since annotating medical images for segmentation tasks commonly incurs expensive costs, it is highly desirable to design an annotation-efficient method to alleviate the annotation…
Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction
Jinhong Wang, Yi Cheng, Jintai Chen +3
Ordinal regression refers to classifying object instances into ordinal categories. It has been widely studied in many scenarios, such as medical disease grading, movie rating, etc.…
Cross-Layer Retrospective Retrieving via Layer Attention
Yanwen Fang, Yuxi Cai, Jintai Chen +3
More and more evidence has shown that strengthening layer interactions can enhance the representation power of a deep neural network, while self-attention excels at learning interd…