3 papers
eess.IV2025
A Closer Look at Edema Area Segmentation in SD-OCT Images Using Adversarial Framework
Yuhui Tao, Yizhe Zhang, Qiang Chen
The development of artificial intelligence models for macular edema (ME) analy-sis always relies on expert-annotated pixel-level image datasets which are expen-sive to collect pros…
eess.IV2025
A Disease-Centric Vision-Language Foundation Model for Precision Oncology in Kidney Cancer
Yuhui Tao, Zhongwei Zhao, Zilong Wang +17
The non-invasive assessment of increasingly incidentally discovered renal masses is a critical challenge in urologic oncology, where diagnostic uncertainty frequently leads to the…
eess.IV2024
Towards Ground-truth-free Evaluation of Any Segmentation in Medical Images
Ahjol Senbi, Tianyu Huang, Fei Lyu +8
We explore the feasibility and potential of building a ground-truth-free evaluation model to assess the quality of segmentations generated by the Segment Anything Model (SAM) and i…