2 papers
cs.CV2025
Towards Data-Efficient Medical Imaging: A Generative and Semi-Supervised Framework
Mosong Ma, Tania Stathaki, Michalis Lazarou
Deep learning in medical imaging is often limited by scarce and imbalanced annotated data. We present SSGNet, a unified framework that combines class specific generative modeling w…
cs.CV2025
No Masks Needed: Explainable AI for Deriving Segmentation from Classification
Mosong Ma, Tania Stathaki, Michalis Lazarou
Medical image segmentation is vital for modern healthcare and is a key element of computer-aided diagnosis. While recent advancements in computer vision have explored unsupervised…