3 accepted papers
Deep learning-based tumor segmentation in 3D medical images faces the challenges of limited annotated data and class imbalance. In this paper, we proposed a novel Cross-domain Consistency Data Augmentation (CC-DA) for 3D tumor segmentation. Specifically, we copy the tumor from source data and apply…
Ocular redness is highly prevalent worldwide and often accompanied by pain, discomfort, and vision problems, making it an essential signal for monitoring disease development and prognosis. Understanding the category of ocular redness is crucial for health. However, the intricate vascular structure o…
Accurate segmentation of breast tumors in dynamic contrast-enhanced magnetic resonance images (DCE-MRI) is critical for early diagnosis of breast cancer. However, this task remains challenging due to the wide range of tumor sizes, shapes, and appearances. Additionally, the complexity is further comp…