Mammographic breast density assessment using deep learning: Clinical implementation

Radiology

Volumn 290, Issue 1, 2019, Pages 52-58

  Lehman, Constance D ^a   Yala, Adam ^b   Schuster, Tal ^b   Dontchos, Brian ^a   Bahl, Manisha ^a   Swanson, Kyle ^b   Barzilay, Regina ^b  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ARTICLE; BOOTSTRAPPING; BREAST DENSITY; CLINICAL PRACTICE; CONSENSUS; CONTROLLED STUDY; FEMALE; HUMAN; HUMAN EXPERIMENT; LEARNING; MAJOR CLINICAL STUDY; MAMMOGRAPHY; RADIOLOGIST; RANDOMIZED CONTROLLED TRIAL; RETROSPECTIVE STUDY; STATISTICS; AGED; ALGORITHM; BREAST; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; FACTUAL DATABASE; MIDDLE AGED; PHYSIOLOGY; PROCEDURES; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; BREAST; BREAST DENSITY; DATABASES, FACTUAL; DEEP LEARNING; FEMALE; HUMANS; MAMMOGRAPHY; MIDDLE AGED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED;

EID: 85058874023     PISSN: 00338419     EISSN: 15271315     Source Type: Journal    
DOI: 10.1148/radiol.2018180694     Document Type: Article

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