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most citedImproving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder

65 citations · 152 across the 4 of their papers we have counts for

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cs.CV2018★ 65 cited

Improving the Segmentation of Anatomical Structures in Chest Radiographs using U-Net with an ImageNet Pre-trained Encoder

Maayan Frid-Adar, Avi Ben-Cohen, Rula Amer +1

Accurate segmentation of anatomical structures in chest radiographs is essential for many computer-aided diagnosis tasks. In this paper we investigate the latest fully-convolutiona…