Deep learning in chest radiography: Detection of findings and presence of change

PLoS ONE

Volumn 13, Issue 10, 2018, Pages

  Singh, Ramandeep ^a,b   Kalra, Mannudeep K ^a,b   Nitiwarangkul, Chayanin ^a,b,c   Patti, John A ^a,b   Homayounieh, Fatemeh ^a,b   Padole, Atul ^a,b   Rao, Pooja ^d   Putha, Preetham ^d   Muse, Victorine V ^a,b   Sharma, Amita ^a,b   Digumarthy, Subba R ^a,b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c MAHIDOL UNIVERSITY   (Thailand)

^d Qureai Company   (India)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; DATA ANALYSIS; DIAGNOSTIC ACCURACY; FOLLOW UP; HUMAN; IMAGE ANALYSIS; LEARNING ALGORITHM; MAJOR CLINICAL STUDY; MEDICAL EXAMINATION; PLEURA EFFUSION; PREDICTION; RADIOLOGIST; RETROSPECTIVE STUDY; SCORING SYSTEM; THORAX RADIOGRAPHY; AGED; ALGORITHM; AREA UNDER THE CURVE; DIAGNOSTIC IMAGING; FEMALE; IMAGE ENHANCEMENT; LUNG; MALE; MIDDLE AGED; OBSERVER VARIATION; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; STANDARD; STANDARDS;

ADULT; AGED; ALGORITHMS; AREA UNDER CURVE; DEEP LEARNING; FEMALE; HUMANS; LUNG; MALE; MIDDLE AGED; OBSERVER VARIATION; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHY, THORACIC; REFERENCE STANDARDS; RETROSPECTIVE STUDIES; ROC CURVE;

EID: 85054452179     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0204155     Document Type: Article

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