3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities.

Villarini, Barbara; Asaturyan, Hykoush; Kurugol, Sila; Afacan, Onur; Bell, Jimmy D; Thomas, E Louise

Villarini, Barbara; Asaturyan, Hykoush; Kurugol, Sila; Afacan, Onur; Bell, Jimmy D; Thomas, E Louise.

Afiliação

Villarini B; School of Computer Science, University of Westminster, London, United Kingdom.
Asaturyan H; School of Computer Science, University of Westminster, London, United Kingdom.
Kurugol S; Department of Radiology, Boston Children's Hospital & Harvard Medical School, Boston, Massachusetts, USA.
Afacan O; Department of Radiology Boston Children's Hospital & Harvard Medical School, Boston, Massachusetts, USA.
Bell JD; School of Life Sciences, University of Westminster, London, United Kingdom.
Thomas EL; School of Life Sciences, University of Westminster, London, United Kingdom.

Proc IEEE Int Symp Comput Based Med Syst ; 2021: 166-171, 2021 Jun.

Article em En | MEDLINE | ID: mdl-35224185

Palavras-chave

3D deep learning; CADx system; anatomical structure; multiple modality; organ segmentation

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: Proc IEEE Int Symp Comput Based Med Syst Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido País de publicação: Estados Unidos

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