Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves

Author:

Magudia Kirti1ORCID,Bridge Christopher P.1ORCID,Bay Camden P.1ORCID,Babic Ana1,Fintelmann Florian J.1ORCID,Troschel Fabian M.1ORCID,Miskin Nityanand1ORCID,Wrobel William C.1ORCID,Brais Lauren K.1ORCID,Andriole Katherine P.1,Wolpin Brian M.1,Rosenthal Michael H.1ORCID

Affiliation:

1. From the Department of Radiology, Brigham and Women’s Hospital, Boston, Mass (K.M., C.P. Bay, N.M., W.C.W., M.H.R.); MGH & BWH Center for Clinical Data Science, Boston, Mass (C.P. Bridge, K.P.A.); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Mass (A.B., L.K.B., B.M.W.); and Department of Radiology, Massachusetts General Hospital, Boston, Mass (F.J.F., F.M.T.).

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology Nuclear Medicine and imaging

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