Clinical applicability of deep learning system in detecting tuberculosis with chest radiography

Daniel S.W. Ting; Paul H. Yi; Ferdinand Hui

doi:10.1148/radiol.2017172407

Clinical applicability of deep learning system in detecting tuberculosis with chest radiography

Daniel S.W. Ting, Paul H. Yi, Ferdinand Hui

School of Medicine

Research output: Contribution to journal › Letter › peer-review

17 Scopus citations

Original language	English (US)
Pages (from-to)	729-730
Number of pages	2
Journal	RADIOLOGY
Volume	286
Issue number	2
DOIs	https://doi.org/10.1148/radiol.2017172407
State	Published - Feb 2018

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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@article{9f8fa2907a5a481aa0a035cb45813571,

title = "Clinical applicability of deep learning system in detecting tuberculosis with chest radiography",

author = "Ting, {Daniel S.W.} and Yi, {Paul H.} and Ferdinand Hui",

year = "2018",

month = feb,

doi = "10.1148/radiol.2017172407",

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volume = "286",

pages = "729--730",

journal = "RADIOLOGY",

issn = "0033-8419",

publisher = "Radiological Society of North America Inc.",

number = "2",

}

TY - JOUR

T1 - Clinical applicability of deep learning system in detecting tuberculosis with chest radiography

AU - Ting, Daniel S.W.

AU - Yi, Paul H.

AU - Hui, Ferdinand

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U2 - 10.1148/radiol.2017172407

DO - 10.1148/radiol.2017172407

M3 - Letter

C2 - 29356635

AN - SCOPUS:85041456216

SN - 0033-8419

VL - 286

SP - 729

EP - 730

JO - RADIOLOGY

JF - RADIOLOGY

IS - 2

ER -

Clinical applicability of deep learning system in detecting tuberculosis with chest radiography

ASJC Scopus subject areas

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