A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities

30 May 2019Simon A. A. KohlBernardino Romera-ParedesKlaus H. Maier-HeinDanilo Jimenez RezendeS. M. Ali EslamiPushmeet KohliAndrew ZissermanOlaf Ronneberger

Medical imaging only indirectly measures the molecular identity of the tissue within each voxel, which often produces only ambiguous image evidence for target measures of interest, like semantic segmentation. This diversity and the variations of plausible interpretations are often specific to given image regions and may thus manifest on various scales, spanning all the way from the pixel to the image level... (read more)

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