Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides

Christian Marzahl, Marc Aubreville, Christof A. Bertram, Jason Stayt, Anne-Katherine Jasensky, Florian Bartenschlager, Marco Fragoso, Ann K. Barton, Svenja Elsemann, Samir Jabari, Jens Krauth, Prathmesh Madhu, Jörn Voigt, Jenny Hill, Robert Klopfleisch, Andreas Maier

Abstract: Exercise-induced pulmonary hemorrhage (EIPH) is a common condition in sport horses with negative impact on performance. Cytology of bronchoalveolar lavage fluid by use of a scoring system is considered the most sensitive diagnostic method. Manual grading of macrophages, depending on the degree of cytoplasmic hemosiderin content, on whole slide images (WSI) is however monotonous and time-consuming.