Your browser doesn't support javascript.
loading
Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects.
Tram, Nguyen K; Chou, Ting-Heng; Janse, Sarah A; Bobbey, Adam J; Audino, Anthony N; Onofrey, John A; Stacy, Mitchel R.
Affiliation
  • Tram NK; Center for Regenerative Medicine, The Research Institute at Nationwide Children's Hospital, 575 Children's Crossroad, WB4133, Columbus, OH, 43215, USA.
  • Chou TH; Center for Regenerative Medicine, The Research Institute at Nationwide Children's Hospital, 575 Children's Crossroad, WB4133, Columbus, OH, 43215, USA.
  • Janse SA; Center for Biostatistics, The Ohio State University, Columbus, OH, USA.
  • Bobbey AJ; Department of Radiology, Nationwide Children's Hospital, Columbus, OH, USA.
  • Audino AN; Division of Hematology/Oncology/BMT, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH, USA.
  • Onofrey JA; Department of Radiology & Biomedical Imaging, Yale University School of Medicine, New Haven, CT, USA.
  • Stacy MR; Department of Urology, Yale University School of Medicine, New Haven, CT, USA.
Eur Radiol ; 33(9): 6599-6607, 2023 Sep.
Article in En | MEDLINE | ID: mdl-36988714
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Composition / Deep Learning / Lymphoma Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Female / Humans / Male Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Affiliation country: United States Country of publication: Germany
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Body Composition / Deep Learning / Lymphoma Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Female / Humans / Male Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2023 Document type: Article Affiliation country: United States Country of publication: Germany