Editorial comment on ⇜liver steatosis categorization on contrast-enhanced CT using a fully automated deep learning volumetric segmentation tool: Evaluation in 1204 healthy adults using unenhanced CT as a reference standard”

Amir A. Borhani

doi:10.2214/AJR.20.24764

Editorial comment on ⇜liver steatosis categorization on contrast-enhanced CT using a fully automated deep learning volumetric segmentation tool: Evaluation in 1204 healthy adults using unenhanced CT as a reference standard”

Amir A. Borhani^*

^*Corresponding author for this work

Radiology

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Pages (from-to)	367
Number of pages	1
Journal	American Journal of Roentgenology
Volume	217
Issue number	2
DOIs	https://doi.org/10.2214/AJR.20.24764
State	Published - Aug 2021

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.2214/AJR.20.24764

Cite this

@article{48471f9453184a3b8c778708c35df05c,

title = "Editorial comment on ⇜liver steatosis categorization on contrast-enhanced CT using a fully automated deep learning volumetric segmentation tool: Evaluation in 1204 healthy adults using unenhanced CT as a reference standard”",

author = "Borhani, {Amir A.}",

year = "2021",

month = aug,

doi = "10.2214/AJR.20.24764",

language = "English (US)",

volume = "217",

pages = "367",

journal = "American Journal of Roentgenology",

issn = "0361-803X",

publisher = "American Roentgen Ray Society",

number = "2",

}

Editorial comment on ⇜liver steatosis categorization on contrast-enhanced CT using a fully automated deep learning volumetric segmentation tool: Evaluation in 1204 healthy adults using unenhanced CT as a reference standard”. / Borhani, Amir A.
In: American Journal of Roentgenology, Vol. 217, No. 2, 08.2021, p. 367.

Research output: Contribution to journal › Comment/debate › peer-review

TY - JOUR

T1 - Editorial comment on ⇜liver steatosis categorization on contrast-enhanced CT using a fully automated deep learning volumetric segmentation tool

T2 - Evaluation in 1204 healthy adults using unenhanced CT as a reference standard”

AU - Borhani, Amir A.

PY - 2021/8

Y1 - 2021/8

UR - http://www.scopus.com/inward/record.url?scp=85111178583&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85111178583&partnerID=8YFLogxK

U2 - 10.2214/AJR.20.24764

DO - 10.2214/AJR.20.24764

M3 - Comment/debate

C2 - 32997510

AN - SCOPUS:85111178583

SN - 0361-803X

VL - 217

SP - 367

JO - American Journal of Roentgenology

JF - American Journal of Roentgenology

IS - 2

ER -

Editorial comment on ⇜liver steatosis categorization on contrast-enhanced CT using a fully automated deep learning volumetric segmentation tool: Evaluation in 1204 healthy adults using unenhanced CT as a reference standard”

ASJC Scopus subject areas

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