AI for medical imaging goes deep

Nature Medicine

Volumn 24, Issue 5, 2018, Pages 539-540

  Ting, Daniel S W ^a,b   Liu, Yong ^b   Burlina, Philippe ^c   Xu, Xinxing ^b   Bressler, Neil M ^d   Wong, Tien Y ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b INSTITUTE OF HIGH PERFORMANCE COMPUTING   (Singapore)

^c JOHNS HOPKINS UNIVERSITY   (United States)

^d JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DIABETES MELLITUS; DIABETIC MACULAR EDEMA; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DRUSEN; HUMAN; MACHINE LEARNING; NERVE CELL; OPTICAL COHERENCE TOMOGRAPHY; PNEUMONIA; PRIORITY JOURNAL; SUBRETINAL NEOVASCULARIZATION; THORAX RADIOGRAPHY; UNITED STATES; ARTIFICIAL INTELLIGENCE; THREE DIMENSIONAL IMAGING;

ARTIFICIAL INTELLIGENCE; DEEP LEARNING; DIAGNOSTIC IMAGING; HUMANS; IMAGING, THREE-DIMENSIONAL;

EID: 85046542182     PISSN: 10788956     EISSN: 1546170X     Source Type: Journal    
DOI: 10.1038/s41591-018-0029-3     Document Type: Article

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