Automatic Tissue Recognition in Surgery with Hyperspectral Imaging

Hyperspectral imaging, combined with machine learning, enables automatic tissue recognition during surgery. A study utilizing convolutional neural networks achieved high true positive rates for skin and liver tissues. Misclassifications mainly occurred between tissues with similar origins. The study underscores the potential of hyperspectral imaging in surgical optomics, offering a new approach for extracting tissue features. Multicenter datasets are crucial for further validation and clinical implementation.