융합신호처리학회 학술대회논문집 (Proceedings of the Korea Institute of Convergence Signal Processing)
- 한국신호처리시스템학회 2005년도 추계학술대회 논문집
- /
- Pages.178-181
- /
- 2005
SVM을 이용한 유방 종양 조직 영상의 분류
A Classification of Breast Tumor Tissue Images Using SVM
- Hwang, Hae-Gil (Dept. of Computer Engineering, Inje University) ;
- Choi, Hyun-Ju (Dept. of Computer Engineering, Inje University) ;
- Yoon, Hye-Kyoung (Dept. of Pathology, College of medicine, Inje University) ;
- Choi, Heung-Kook (Dept. of Computer Engineering, Inje University)
- 발행 : 2005.11.19
초록
Support vector machines is a powerful learning algorithm and attempt to separate belonging to two given sets in N-dimensional real space by a nonlinear surface, often only implicitly dened by a kernel function. We described breast tissue images analyses using texture features from Haar wavelet transformed images to classify breast lesion of ductal organ Benign, DCIS and CA. The approach for creating a classifier is composed of 2 steps: feature extraction and classification. Therefore, in the feature extraction step, we extracted texture features from wavelet transformed images with
키워드