deep learning in OCT

Deep learning in OCT (Optical Coherence Tomography) involves using advanced algorithms modeled after the human brain to analyze detailed eye imaging data. These algorithms automatically identify and interpret complex patterns in the images, enabling precise diagnosis of eye conditions like macular degeneration or diabetic retinopathy. By learning from large datasets, deep learning enhances the accuracy and speed of image analysis beyond traditional methods, assisting eye care professionals in making more informed decisions and improving patient outcomes.