Co-Correcting
Co-Correcting
**Co-Correcting** is a noise-tolerant deep learning framework for medical image classification based on mutual learning and annotation correction. It consists of three modules: the dual-network architecture, the curriculum learning module, and the label correction module.
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction
https://paperswithcode.com/paper/co-correcting-noise-tolerant-medical-image
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label Correction