A phantom study for assessing the effect of different digital detectors on mammographic texture features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7361 LNCS, Issue , 2012, Pages 604-610

  Wang, Yan ^a   Keller, Brad M ^a   Zheng, Yuanjie ^a   Acciavatti, Raymond J ^a   Gee, James C ^a   Maidment, Andrew D A ^a   Kontos, Despina ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

breast phantom; detectors; Digital mammography; texture analysis

Indexed keywords

BREAST IMAGING; BREAST PHANTOM; CO-OCCURRENCE; CRANIO-CAUDAL VIEWS; CUMULATIVE DISTRIBUTION FUNCTION; DATA SETS; DETECTOR EFFECTS; DETECTOR SYSTEMS; DIGITAL DETECTOR; DIGITAL MAMMOGRAPHY; GREY-LEVEL; IMAGE INTENSITIES; IMAGE NORMALIZATION; INTENSITY VALUES; MAMMOGRAPHIC; PHANTOM STUDIES; PROCESSED IMAGES; RUN LENGTH; SHIFTING FACTORS; TEXTURE ANALYSIS; TEXTURE FEATURES; UNIVERSITY OF TORONTO; X-RAY DETECTOR; Z-SCORES;

DATA PROCESSING; DETECTORS; MEDICAL IMAGING; TEXTURES;

IMAGE TEXTURE;

EID: 84864836186     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-31271-7_78     Document Type: Conference Paper

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