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Technical note: Evaluation of a V-Net autosegmentation algorithm for pediatric CT scans: Performance, generalizability, and application to patient-specific CT dosimetry.
Adamson, Philip M; Bhattbhatt, Vrunda; Principi, Sara; Beriwal, Surabhi; Strain, Linda S; Offe, Michael; Wang, Adam S; Vo, Nghia-Jack; Gilat Schmidt, Taly; Jordan, Petr.
Affiliation
  • Adamson PM; Varian Medical Systems, Palo Alto, California, USA.
  • Bhattbhatt V; Varian Medical Systems, Palo Alto, California, USA.
  • Principi S; Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Beriwal S; Varian Medical Systems, Palo Alto, California, USA.
  • Strain LS; Department of Radiology, Children's Wisconsin and Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Offe M; Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Wang AS; Department of Radiology, Stanford University, Stanford, California, USA.
  • Vo NJ; Department of Radiology, Children's Wisconsin and Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Gilat Schmidt T; Department of Biomedical Engineering, Marquette University and Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
  • Jordan P; Varian Medical Systems, Palo Alto, California, USA.
Med Phys ; 49(4): 2342-2354, 2022 Apr.
Article de En | MEDLINE | ID: mdl-35128672
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement d'image par ordinateur / Tomodensitométrie Type d'étude: Prognostic_studies Limites: Child / Humans Langue: En Journal: Med Phys Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Traitement d'image par ordinateur / Tomodensitométrie Type d'étude: Prognostic_studies Limites: Child / Humans Langue: En Journal: Med Phys Année: 2022 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique