12 citations · 12 across the 3 of their papers we have counts for
4 papers
Adversarial Versus Federated: An Adversarial Learning based Multi-Modality Cross-Domain Federated Medical Segmentation
You Zhou, Lijiang Chen, Shuchang Lyu +7
Federated learning enables collaborative training of machine learning models among different clients while ensuring data privacy, emerging as the mainstream for breaking data silos…
ViTaL: A Multimodality Dataset and Benchmark for Multi-pathological Ovarian Tumor Recognition
You Zhou, Lijiang Chen, Guangxia Cui +5
Ovarian tumor, as a common gynecological disease, can rapidly deteriorate into serious health crises when undetected early, thus posing significant threats to the health of women.…
OV-VG: A Benchmark for Open-Vocabulary Visual Grounding
Chunlei Wang, Wenquan Feng, Xiangtai Li +5
Open-vocabulary learning has emerged as a cutting-edge research area, particularly in light of the widespread adoption of vision-based foundational models. Its primary objective is…
MMOTU: A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation
Qi Zhao, Shuchang Lyu, Wenpei Bai +7
Ovarian cancer is one of the most harmful gynecological diseases. Detecting ovarian tumors in early stage with computer-aided techniques can efficiently decrease the mortality rate…