Using deep learning to segment breast and fibroglandular tissue in MRI volumes:

Medical Physics

Volumn 44, Issue 2, 2017, Pages 533-546

  Dalmiş, Mehmet Ufuk ^a   Litjens, Geert ^a   Holland, Katharina ^a   Setio, Arnaud ^a   Mann, Ritse ^a   Karssemeijer, Nico ^a   Gubern Mérida, Albert ^a  

^a RADBOUD UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

breast segmentation; deep learning; MRI

Indexed keywords

AUTOMATION; CORRELATION METHODS; DEEP LEARNING; IMAGE SEGMENTATION; MEDICAL IMAGING; TEMPLATE MATCHING; TISSUE;

ATLAS-BASED METHODS; BREAST DENSITY; BREAST MRI; BREAST SEGMENTATION; BREAST TISSUES; DEEP LEARNING; FIBROGLANDULAR TISSUE; MANUAL SEGMENTATION; SIMILARITY COEFFICIENTS; TISSUE SEGMENTATION;

MAGNETIC RESONANCE IMAGING;

ARTIFACT; BREAST DENSITY; CASE REPORT; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; HUMAN; HUMAN TISSUE; INFORMATION CENTER; LEARNING; NUCLEAR MAGNETIC RESONANCE IMAGING; PIPELINE; RANDOMIZED CONTROLLED TRIAL; ADULT; AGED; AUTOMATED PATTERN RECOGNITION; BOOK; DIAGNOSTIC IMAGING; FEMALE; IMAGE PROCESSING; INFORMATION PROCESSING; MACHINE LEARNING; MAMMOGRAPHY; MIDDLE AGED; PROCEDURES; SKIN;

ADULT; AGED; ARTIFACTS; ATLASES AS TOPIC; BREAST DENSITY; DATASETS AS TOPIC; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MAMMOGRAPHY; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; SKIN;

EID: 85015580937     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1002/mp.12079     Document Type: Article

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