Fluorescence Angiography

Fluorescence angiography is an imaging technique that visualizes tissue perfusion by detecting fluorescent signals, aiming to improve surgical precision and outcomes. Current research focuses on developing automated image analysis methods, often employing convolutional neural networks like ResNets, to objectively classify tissue perfusion levels and standardize interpretation of the fluorescent signal. This objective analysis has the potential to significantly improve the consistency and reliability of fluorescence angiography in various surgical procedures, leading to better patient outcomes and wider adoption of the technique.