3 papers
cs.CV2025
PSScreen V2: Partially Supervised Multiple Retinal Disease Screening
Boyi Zheng, Yalin Zheng, Hrvoje BogunoviÄ +1
In this work, we propose PSScreen V2, a partially supervised self-training framework for multiple retinal disease screening. Unlike previous methods that rely on fully labelled or…
cs.CV2025
PSScreen: Partially Supervised Multiple Retinal Disease Screening
Boyi Zheng, Qing Liu
Leveraging multiple partially labeled datasets to train a model for multiple retinal disease screening reduces the reliance on fully annotated datasets, but remains challenging due…
eess.IV2025
Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning
Yihao Liu, Zhihao Cui, Liming Li +6
Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely used for the preliminary screening of gliomas and plays a crucial role in auxilia…