Homeyer, A.A.HomeyerSchenk, A.A.SchenkArlt, J.J.ArltDahmen, U.U.DahmenDirsch, O.O.DirschHahn, H.K.H.K.Hahn2022-03-042022-03-042013https://publica.fraunhofer.de/handle/publica/23302910.1016/j.compmedimag.2013.05.0022-s2.0-848790524262-s2.0-84880712745Since the histological quantification of necrosis is a common task in medical research and practice, we evaluate different image analysis methods for quantifying necrosis in whole-slide images. In a practical usage scenario, we assess the impact of different classification algorithms and feature sets on both accuracy and computation time. We show how a well-chosen combination of multiresolution features and an efficient postprocessing step enables the accurate quantification necrosis in gigapixel images in less than a minute. The results are general enough to be applied to other areas of histological image analysis as well.en610journal article