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

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

Published:2021-02 Issue:2 Volume:298 Page:319-329
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Magudia Kirti¹^ORCID,Bridge Christopher P.¹^ORCID,Bay Camden P.¹^ORCID,Babic Ana¹,Fintelmann Florian J.¹^ORCID,Troschel Fabian M.¹^ORCID,Miskin Nityanand¹^ORCID,Wrobel William C.¹^ORCID,Brais Lauren K.¹^ORCID,Andriole Katherine P.¹,Wolpin Brian M.¹,Rosenthal Michael H.¹^ORCID

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

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2020201640

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