Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning.

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第一作者： Lorenzo,Maiello

第一单位： Pulmonary Engineering Group, Department of Anaesthesiology and Intensive Care Therapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.;Department of Surgical Sciences and Integrated Diagnostics, IRCCS AOU San Martino IST, University of Genoa, Genoa, Italy.

作者： Lorenzo,Maiello ^[1] ; Lorenzo,Ball ^[2] ; Marco,Micali ^[2] ; Francesca,Iannuzzi ^[2] ; Nico,Scherf ^[3] ; Ralf-Thorsten,Hoffmann ^[4] ; Marcelo,Gama de Abreu ^[5] ; Paolo,Pelosi ^[2] ; Robert,Huhle ^[6]

作者单位： Pulmonary Engineering Group, Department of Anaesthesiology and Intensive Care Therapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.;Department of Surgical Sciences and Integrated Diagnostics, IRCCS AOU San Martino IST, University of Genoa, Genoa, Italy. ^[1] Department of Surgical Sciences and Integrated Diagnostics, IRCCS AOU San Martino IST, University of Genoa, Genoa, Italy. ^[2] Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. ^[3] Department of Diagnostic and Interventional Radiology, University Hospital Carl Gustav Dresden, Technische Universität Dresden, Dresden, Germany. ^[4] Pulmonary Engineering Group, Department of Anaesthesiology and Intensive Care Therapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.;Department of Intensive Care and Resuscitation, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States.;Department of Outcomes Research, Anesthesiology Institute, Cleveland Clinic, Cleveland, OH, United States. ^[5] Pulmonary Engineering Group, Department of Anaesthesiology and Intensive Care Therapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany. ^[6]

关键词 ARDS COVID-19 Jaccard index deep learning lung recruitment lung segmentation transfer learning uNet

DOI 10.3389/fphys.2021.725865

PMID 35185592

发布时间 2023-09-17

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