Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network.
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DOI: 10.1002/mp.15627
Abstract: PURPOSE Automated retinal vessel segmentation is crucial to the early diagnosis and treatment of ophthalmological diseases. Many deep learning-based methods have shown exceptional success in this task. However, current approaches are still inadequate in challenging… read more here.
Keywords: network; vessel segmentation; vessel; error ... See more keywords
Structure of minimum error discrimination for linearly independent states
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DOI: 10.1103/physreva.99.052334
Abstract: In this paper we study the Minimum Error Discrimination problem (MED) for ensembles of linearly independent (LI) states. We define a bijective map from the set of those ensembles to itself and we show that… read more here.
Keywords: error discrimination; minimum error; linearly independent; independent states ... See more keywords