LifeLonger: A Benchmark for Continual Disease Classification. (arXiv:2204.05737v1 [cs.CV])

Deep learning models have shown a great effectiveness in recognition of
findings in medical images. However, they cannot handle the ever-changing
clinical environment, bringing newly annotated medical data from different
sources. To exploit the incoming streams of data, these models would benefit
largely from sequentially learning from new samples, without forgetting the
previously obtained knowledge. In this paper we introduce LifeLonger, a
benchmark for continual disease classification on the MedMNIST collection, by
applying existing state-of-the-art continual learning methods. In particular, …

arxiv benchmark classification continual cv disease