CT image segmentation for inflamed and fibrotic lungs using a multi-resolution convolutional neural network

Abstract The purpose of this study was to develop a fully-automated segmentation algorithm, robust to various density enhancing lung abnormalities, to facilitate rapid quantitative analysis of computed tomography images. A polymorphic training approach is proposed, in which both specifically labeled...

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Bibliographic Details
Main Authors: Sarah E. Gerard, Jacob Herrmann, Yi Xin, Kevin T. Martin, Emanuele Rezoagli, Davide Ippolito, Giacomo Bellani, Maurizio Cereda, Junfeng Guo, Eric A. Hoffman, David W. Kaczka, Joseph M. Reinhardt
Format: article
Language:EN
Published: Nature Portfolio 2021
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Online Access:https://doaj.org/article/67123f2fad0c4e4f98f42b8ab456559b
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