Polarization imaging for breast cancer diagnosis using texture analysis and SVM
- Resource Type
- Conference
- Authors
- Bin Zhou; Jianhua Xuan; Hongzhi Zhao; Chepko, Gloria J.; Freedman, Matthew T.; Kevin Yingyin Zou
- Source
- 2007 IEEE/NIH Life Science Systems and Applications Workshop Life Science Systems and Applications Workshop, 2007. LISA 2007. IEEE/NIH. :217-220 Nov, 2007
- Subject
- General Topics for Engineers
Computing and Processing
Bioengineering
Breast cancer
Image analysis
Image texture analysis
Support vector machines
Optical imaging
Optical polarization
Breast tissue
Optical scattering
Microscopy
Biomedical imaging
Polarization Imaging
Texture Analysis
Support Vector Machine
Breast Tissue Classification
- Language
The polarization state of the light transmitting through a specimen can provide useful information concerning the optical property of the sample. We present a polarization imaging device that measures the Stokes components of the trans-illuminant light. Particularly, we develop an image analysis algorithm using texture analysis and support vector machine for tissue classification. The experiment has been conducted using rat breast tissue in health and with cancer. It is demonstrated that the Stokes images can improve the classification performance of the algorithm. With the incorporation of the multi-polarization images, it is shown that the diagnosis accuracy can be further improved over that using intensity image only.