원문정보
보안공학연구지원센터(IJUNESST)
International Journal of u- and e- Service, Science and Technology
vol.2 no.3
2009.09
pp.1-12
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we propose a method to identify abnormal growth of cells in breast tissue and suggest further pathological test, if necessary. We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps. Normal ductal epithelial cells and ductal / lobular invasive carcinogenic cells also consider for comparison here in this paper. In fact, features of cancerous breast tissue (invasive) are extracted and analyses with normal breast tissue. We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some greater extent.
목차
Abstract
1. Introduction
2. Previous works
3. Our work
3.1. 24-bit Color Image to 256-color Gray Image
3.2. 256-color Gray Image to Bi-color (using Pixel Clustering on Threshold Value, T)
3.3. Cell Representation Algorithm on Spatial Domain
4. Analysis and Result
5. Conclusion
References
1. Introduction
2. Previous works
3. Our work
3.1. 24-bit Color Image to 256-color Gray Image
3.2. 256-color Gray Image to Bi-color (using Pixel Clustering on Threshold Value, T)
3.3. Cell Representation Algorithm on Spatial Domain
4. Analysis and Result
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보