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    • Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs 

      Endres, Michael G.; Hillen, Florian; Salloumis, Marios; Sedaghat, Ahmad R.; Niehues, Stefan M.; Quatela, Olivia; Hanken, Henning; Smeets, Ralf; Beck-Broichsitter, Benedicta; Rendenbach, Carsten; Lakhani, Karim; Heiland, Max; Gaudin, Robert A. (MDPI AG, 2020-06-24)
      Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors. ...