Evaluation of digital image analysis as a supportive tool for the stratification of head and neck vascular anomalies.
Jovine EhrenreichMichael BetteAnsgar SchmidtMarion RoeßlerUdo BakowskyUrban W GeisthoffBoris A StuckRobert MandicPublished in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2020)
Although stratification of different VA from each other was only achieved in part with the markers used, the results of this study strongly support the usefulness of digital image analysis for the stratification of VA. Against the background of upcoming new diagnostic techniques involving artificial intelligence and deep (machine) learning, our data serve as a paradigm of how digital evaluation methods can be deployed to support diagnostic decision making in the field of VAs.