DocumentCode
2636153
Title
Full-field mammogram analysis based on the identification of normal regions
Author
Sun, Yajie ; Babbs, Charles ; Delp, Edward J.
Author_Institution
Video & Image Process. Lab., Purdue Univ., West Lafayette, IN, USA
fYear
2004
fDate
15-18 April 2004
Firstpage
1131
Abstract
We present a new method for full-field mammogram analysis. A mammogram is analyzed region by region and is classified as normal or abnormal. We present methods for extracting features that can be used to distinguish normal and abnormal regions of a mammogram. We describe our classifier technique that uses a unique reclassification method to boost the classification performance. We have tested this technique on a set of ground-truth full-field mammograms.
Keywords
cancer; feature extraction; image classification; mammography; medical image processing; tumours; classifier technique; feature extraction; ground-truth full-field mammogram analysis; reclassification method; Biomedical imaging; Breast cancer; Cancer detection; Delta-sigma modulation; Feature extraction; Image analysis; Image databases; Mammography; Optical scattering; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN
0-7803-8388-5
Type
conf
DOI
10.1109/ISBI.2004.1398742
Filename
1398742
Link To Document