2 papers
cs.CV2024
Deep Generative Models Unveil Patterns in Medical Images Through Vision-Language Conditioning
Xiaodan Xing, Junzhi Ning, Yang Nan +1
Deep generative models have significantly advanced medical imaging analysis by enhancing dataset size and quality. Beyond mere data augmentation, our research in this paper highlig…
eess.IV2024
MONICA: Benchmarking on Long-tailed Medical Image Classification
Lie Ju, Siyuan Yan, Yukun Zhou +4
Long-tailed learning is considered to be an extremely challenging problem in data imbalance learning. It aims to train well-generalized models from a large number of images that fo…