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Open Access
Peer-reviewed
Research Article
Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging
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Moritz Gross,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America, Charité Center for Diagnostic and Interventional Radiology, Charité—Universitätsmedizin Berlin, Berlin, Germany
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Michael Spektor,
Roles Supervision, Validation, Writing – review & editing
Affiliation Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America
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Ariel Jaffe,
Roles Data curation, Validation, Writing – review & editing
Affiliation Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America
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Ahmet S. Kucukkaya,
Roles Data curation, Writing – review & editing
Affiliations Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America, Charité Center for Diagnostic and Interventional Radiology, Charité—Universitätsmedizin Berlin, Berlin, Germany
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Simon Iseke,
Roles Data curation, Writing – review & editing
Affiliations Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America, Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany
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Stefan P. Haider,
Roles Validation, Writing – review & editing
Affiliations Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America, Department of Otorhinolaryngology, University Hospital of Ludwig Maximilians Universität München, Munich, Germany
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Mario Strazzabosco,
Roles Supervision, Writing – review & editing
Affiliation Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, United States of America
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Julius Chapiro,
Roles Conceptualization, Methodology, Project administration, Resources, Supervision, Validation, Writing – review & editing
Affiliation Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America
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John A. Onofrey
Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: john.onofrey@yale.edu
Affiliations Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, Connecticut, United States of America, Department of Urology, Yale University School of Medicine, New Haven, Connecticut, United States of America, Department of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America
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Improved performance and consistency of deep learning 3D liver segmentation with heterogeneous cancer stages in magnetic resonance imaging
- Moritz Gross,
- Michael Spektor,
- Ariel Jaffe,
- Ahmet S. Kucukkaya,
- Simon Iseke,
- Stefan P. Haider,
- Mario Strazzabosco,
- Julius Chapiro,
- John A. Onofrey
- Published: December 1, 2021
- https://doi.org/10.1371/journal.pone.0260630