Diagnosis of breast masses from dynamic contrast-enhanced and diffusion-weighted MR: A machine learning approach

PLoS ONE

Volumn 9, Issue 1, 2014, Pages

  Cai, Hongmin ^a   Peng, Yanxia ^b,c   Ou, Caiwen ^d   Chen, Minsheng ^d   Li, Li ^b  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b SUN YAT SEN UNIVERSITY CANCER CENTER   (China)

^c SUN YAT SEN UNIVERSITY   (China)

^d SOUTHERN MEDICAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; BREAST CANCER; CANCER PROGNOSIS; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIFFUSION COEFFICIENT; DIFFUSION WEIGHTED IMAGING; FEMALE; HISTOPATHOLOGY; HUMAN; KINETICS; MACHINE LEARNING; MAJOR CLINICAL STUDY; NUCLEAR MAGNETIC RESONANCE IMAGING; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; AGED; ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; CONTRAST MEDIA; DIFFUSION MAGNETIC RESONANCE IMAGING; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MIDDLE AGED;

EID: 84900326685     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0087387     Document Type: Article

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