Manifold learning for density segmentation in high risk mammograms

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

Volumn 7887 LNCS, Issue , 2013, Pages 245-252

  Strange, Harry ^a   Denton, Erika ^b   Kibiro, Minnie ^b   Zwiggelaar, Reyer ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

^b NORFOLK AND NORWICH UNIVERSITY HOSPITAL   (United Kingdom)

Author keywords

Breast Density Segmentation; Kernel PCA; Mammography; Manifold Learning

Indexed keywords

BREAST DENSITY; FULL-FIELD DIGITAL MAMMOGRAMS; HIGH DIMENSIONAL SPACES; KERNEL PCA; MAMMOGRAPHIC BREAST DENSITIES; MANIFOLD LEARNING; MANIFOLD STRUCTURES; RISK CLASSIFICATION;

IMAGE ANALYSIS; MAMMOGRAPHY; PATTERN RECOGNITION; X RAY SCREENS;

RISK ASSESSMENT;

EID: 84883154461     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38628-2_29     Document Type: Conference Paper

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