ImSpect: Image-driven self-supervised learning for surgical margin evaluation with mass spectrometry

Laura Connolly, Fahimeh Fooladgar, Amoon Jamzad, Martin Kaufmann, Ayesha Syeda, Kevin Yi Mi Ren, Purang Abolmaesumi, John F. Rudan, Doug McKay, Gabor Fichtinger, Parvin Mousavi

Abstract: Real-time assessment of surgical margins is critical for favorable outcomes in cancer patients. The iKnife is a mass spectrometry device that has demonstrated potential for margin detection in cancer surgery. Previous studies have shown that using deep learning on iKnife data can facilitate real-time tissue characterization. However, none of the existing literature on the iKnife facilitate the use of publicly available, state-of-the-art pretrained networks or datasets that have been used in computer vision and other domains.