Researchers from Peking University have developed a novel noninvasive choroidal angiography method that enables layer-wise visualization and evaluation of choroidal vessels using deep learning. This new approach, published in Health Data Science, employs an advanced segmentation model that can handle varying quality of optical coherence tomography (OCT) B-scans, making it a promising tool for clinical applications in diagnosing retinal diseases.
Developing novel noninvasive choroidal vessel analysis via deep learning
