Research on deep learning-based lesion identification in optical coherence tomography

Key Points

• Lesion identification accuracy improved significantly with deep learning techniques in optical coherence tomography.
• A comparative analysis showed a 20% increase in detection rates when using neural networks over traditional methods.
• The assessment utilized an advanced deep learning model to analyze OCT images for lesion detection.
• These findings highlight the potential of deep learning in enhancing diagnostic tools for eye conditions.