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

Radiology

Volumn 286, Issue 2, 2018, Pages 729-730

  Ting, Daniel S W ^a,c   Yi, Paul H ^b   Hui, Ferdinand ^b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; DEEP LEARNING SYSTEM; HUMAN; IMAGE RECOGNITION; IMMUNOCOMPROMISED PATIENT; LETTER; LUNG TUBERCULOSIS; MACHINE LEARNING; PREVALENCE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY; VOICE RECOGNITION; RADIOGRAPHY; TUBERCULOSIS;

HUMANS; MACHINE LEARNING; RADIOGRAPHY; RADIOGRAPHY, THORACIC; TUBERCULOSIS; TUBERCULOSIS, PULMONARY;

EID: 85041456216     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2017172407     Document Type: Letter

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