A deep learning-based model for automatic segmentation and evaluation of corneal neovascularization using slit-lamp anterior segment images

The fully automated network model IterNet provides a time-saving and efficient method to make a quantitative evaluation of CoNV using slit-lamp anterior segment images. This method demonstrates great value and clinical application potential for patient care and future research.