most citedAutomatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

643 citations · 669 across the 2 of their papers we have counts for

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cs.CV2020★ 26 cited

RDCNet: Instance segmentation with a minimalist recurrent residual network

Raphael Ortiz, Gustavo de Medeiros, Antoine H. F. M. Peters +2

Instance segmentation is a key step for quantitative microscopy. While several machine learning based methods have been proposed for this problem, most of them rely on computationa…

cs.CV2016★ 643 cited

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger +10

Automatic segmentation of the liver and its lesion is an important step towards deriving quantitative biomarkers for accurate clinical diagnosis and computer-aided decision support…