Mammographic image segmentation and risk classification based on mammographic parenchymal patterns and geometric moments

Biomedical Signal Processing and Control

Volumn 6, Issue 3, 2011, Pages 321-329

  He, Wenda ^a   Denton, Erika R E ^b   Stafford, Kirsten ^b   Zwiggelaar, Reyer ^a  

^a ABERYSTWYTH UNIVERSITY   (United Kingdom)

^b NORFOLK AND NORWICH UNIVERSITY HOSPITAL   (United Kingdom)

Author keywords

Breast Imaging Reporting And Data System; Geometric moment; Mammography; Parenchymal pattern; Segmentation; Tab r

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISEASES; GEOMETRY; IMAGE CLASSIFICATION; MAMMOGRAPHY; MEDICAL IMAGING; PETROLEUM RESERVOIR EVALUATION; RISK ASSESSMENT; RISK PERCEPTION; TISSUE; X RAY SCREENS;

BREAST IMAGING REPORTING AND DATA SYSTEMS; CLASSIFICATION ACCURACY; COMPUTER AIDED DIAGNOSIS SYSTEMS; GEOMETRIC MOMENT; MAMMOGRAPHIC IMAGE ANALYSIS; MAMMOGRAPHIC PARENCHYMAL PATTERNS; PARENCHYMAL PATTERNS; QUALITATIVE EVALUATIONS;

IMAGE SEGMENTATION;

BREAST CANCER; CANCER DIAGNOSIS; CANCER RISK; COMPUTER ASSISTED RADIOGRAPHY; CONFERENCE PAPER; GEOMETRY; HUMAN; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAMMOGRAPHY; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RISK ASSESSMENT; TREATMENT PLANNING;

EID: 79959988904     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2011.03.008     Document Type: Conference Paper

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