Allows automated detection of tumor tissue on nuclear magnetic resonance (NMR) apparent diffusion coefficient maps. MiMSeg is an algorithm that enables users to reveal tumour heterogeneity by identification of the clusters consisting of gaussian mixture models (GMM) components related to the homogenous areas within tumour tissue.
Data Mining Group, The Silesian University of Technology, Gliwice, Poland; Center of Oncology - Maria Sklodowska-Curie Memorial Institute, Branch in Gliwice, Gliwice, Poland; Junior Group Medical Image Computing, German Cancer Research Center, Heidelberg, Germany; Department of Radiology, University Hospital Basel, Switzerland; Division Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany
MiMSeg funding source(s)
Supported by SUT no 02/010/BK-16/3015 (FB) and by National Science Centre, Poland, grant no UMO-2015/19/B/ST6/01736.