Breast Cancer Diagnosis Based on Texture Feature Extraction Using Curvelet Transform
This paper proposes a method for breast cancer diagnosis in digital mammogram. The article focuses on using texture analysis based on curvelet transform for the classification of tissues. The most discriminative texture features of regions of interest are extracted and then, a classifier is buil...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2010
|
| Subjects: | |
| Online Access: | http://eprints.utp.edu.my/939/1/Curvelet_texture_Statistics_UTP.pdf http://eprints.utp.edu.my/939/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | This paper proposes a method for breast cancer
diagnosis in digital mammogram. The article focuses on using
texture analysis based on curvelet transform for the classification
of tissues. The most discriminative texture features of regions of
interest are extracted and then, a classifier is built. The approach
consists of three steps, detecting the abnormality, classify this
abnormality into one of the abnormality types and lastly
distinguish between benign and malignant tumors. |
|---|