Unleashing the Potential of Open-set Noisy Samples Against Label Noise for Medical Image Classification

arXiv:2406.12293v1 Announce Type: new
Abstract: The challenge of addressing mixed closed-set and open-set label noise in medical image classification remains largely unexplored. Unlike natural image classification where there is a common practice of segregation and separate processing of closed-set and open-set noisy samples from clean ones, medical image classification faces difficulties due to high inter-class similarity which complicates the identification of open-set noisy samples. Moreover, prevailing methods do not leverage the full potential of open-set noisy samples for label noise …

abstract arxiv challenge classification cs.cv image medical mixed natural noise ones potential practice processing samples segregation set type