Anatomic Point–Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs

Our objective is to investigate the reliability and usefulness of anatomic point–based lung zone segmentation on chest radiographs (CXRs) as a reference standard framework and to evaluate the accuracy of automated point placement. Two hundred frontal CXRs were presented to two radiologists who ident...

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Veröffentlicht in:Journal of digital imaging 2021-08, Vol.34 (4), p.922-931
Hauptverfasser: Li, Feng, Armato, Samuel G., Engelmann, Roger, Rhines, Thomas, Crosby, Jennie, Lan, Li, Giger, Maryellen L., MacMahon, Heber
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Sprache:eng
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