Characterization of masses in digital breast tomosynthesis: Comparison of machine learning in projection views and reconstructed slices

Medical Physics

Volumn 37, Issue 7, 2010, Pages 3576-3586

  Chan, Heang Ping ^a   Wu, Yi Ta ^a,c   Sahiner, Berkman ^a   Wei, Jun ^a   Helvie, Mark A ^a   Zhang, Yiheng ^a,d   Moore, Richard H ^b   Kopans, Daniel B ^b   Hadjiiski, Lubomir ^a   Way, Ted ^a,e  

^a UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE   (Taiwan)

^d HOLOGIC INC   (United States)

^e MICROSOFT   (United States)

Author keywords

computer aided diagnosis; digital breast tomosynthesis; mass; SART

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISCRIMINANT ANALYSIS; E-LEARNING; IMAGE ENHANCEMENT; IMAGE SEGMENTATION; K-MEANS CLUSTERING; MACHINE LEARNING; MAMMOGRAPHY; MEDICAL IMAGING; SILICON COMPOUNDS; TEXTURES; TOMOGRAPHY;

COMPUTERAIDED DIAGNOSES (CADX); DIGITAL BREAST TOMOSYNTHESIS; DIGITAL BREAST TOMOSYNTHESIS (DBT); LINEAR DISCRIMINANT ANALYSIS; MASS; RECEIVER OPERATING CHARACTERISTIC CURVES; SART; SIMULTANEOUS ALGEBRAIC RECONSTRUCTION TECHNIQUE;

FEATURE EXTRACTION;

ARTIFICIAL INTELLIGENCE; BREAST TUMOR; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DISCRIMINANT ANALYSIS; HUMAN; IMAGE QUALITY; MAMMOGRAPHY; PROCEDURES; RADIOGRAPHY; RECEIVER OPERATING CHARACTERISTIC;

ARTIFICIAL INTELLIGENCE; BREAST NEOPLASMS; DISCRIMINANT ANALYSIS; HUMANS; MAMMOGRAPHY; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; ROC CURVE;

EID: 77954698222     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3432570     Document Type: Article

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