AMCOS-Net: a novel attention-based multimodal fusion architecture for automated corneal opacity segmentation
Researchers have developed AMCOS-Net, a multimodal deep learning architecture designed to automate the segmentation of corneal opacity. By integrating anterior segment optical coherence tomography and photography, the model improves diagnostic accuracy for a condition that currently lacks objective assessment methods.
Why it matters
Automated diagnostic tools can reduce clinical subjectivity and improve early detection of visual impairment, potentially increasing access to care for patients worldwide.
Scientific Reports ( 2026 ) Cite this article
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