원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.6
2016.06
pp.171-176
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
It is survey over various approaches applied on brain tumor extraction & detection from magnetic resonance image (MRI). Some of them are completely elaborated below with their strength & weaknesses. Magnetic resonance brain image are segmented & synthetically colored to represent original data through modified fuzzy c-means algorithm, supervised computational neural network approach (SCNNA), knowledge based technique (KBT), fractal-based brain tumor detection (FBTD), automatic segmentation of brain tumor (ASBT).
목차
Abstract
1. Introduction
2. Automatic Segmentation
3. Self- Organizing Maps (SOM)
4. Critical Evaluation
5. Conclusion
References
1. Introduction
2. Automatic Segmentation
3. Self- Organizing Maps (SOM)
4. Critical Evaluation
5. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보