Detection and Estimation of 2-D Brain Tumor Size Using Fuzzy C-Means Clustering

Author:

Chauhan Rahul,Negi Surbhi,Jain Subhi

Publisher

Springer Singapore

Reference17 articles.

1. Logeswari, T., Karnan, M.: An improved implementation of brain tumor detection using segmentation based on soft computing. J. Cancer Res. Exp. Oncol. 2, 006–014 (2010)

2. Selvakumar, J., Lakshmi, A., Arivoli, T.: Brain tumor segmentation and its area calculation in brain MR images using K-mean clustering and fuzzy C-mean algorithm. In: International Conference on Advances in Engineering, Science and Management, ICAESM. IEEE (2012)

3. Rimner, A., Holodny, A.I., Hochberg, F.H.: Perfusion magnetic resonance imaging to assess brain tumor responses to new therapies. US Neurol. Dis. 1, 1–6 (2006)

4. Parra, C.A., Iftekharuddin, K., Kozma, R.: Automated brain tumor segmentation and pattern recognition using ANN. In: Computational Intelligence Robotics and Autonomous Systems (2003)

5. Dahab, D.A., Ghoniemy, S.S.A., Selim, G.M.: Automated brain tumor detection and identification using image processing and probabilistic neural network techniques. Int. J. Image Process. Vis. Commun. 1, 1–8 (2012)

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