Vishnuvarthanan, A., Rajasekaran, M. P., Govindaraj, V., Zhang, Y., & Thiyagarajan, A. (2017). An automated hybrid approach using clustering and nature inspired optimization technique for improved tumor and tissue segmentation in magnetic resonance brain images. Applied soft computing, 57, 399-426. https://doi.org/10.1016/j.asoc.2017.04.023
Chicago Style (17th ed.) CitationVishnuvarthanan, Anitha, M. Pallikonda Rajasekaran, Vishnuvarthanan Govindaraj, Yudong Zhang, and Arunprasath Thiyagarajan. "An Automated Hybrid Approach Using Clustering and Nature Inspired Optimization Technique for Improved Tumor and Tissue Segmentation in Magnetic Resonance Brain Images." Applied Soft Computing 57 (2017): 399-426. https://doi.org/10.1016/j.asoc.2017.04.023.
MLA (9th ed.) CitationVishnuvarthanan, Anitha, et al. "An Automated Hybrid Approach Using Clustering and Nature Inspired Optimization Technique for Improved Tumor and Tissue Segmentation in Magnetic Resonance Brain Images." Applied Soft Computing, vol. 57, 2017, pp. 399-426, https://doi.org/10.1016/j.asoc.2017.04.023.