Author:
Nirmalapriya G.,Agalya V.,Regunathan Rajeshkannan,Belsam Jeba Ananth M.
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference48 articles.
1. D. Zikic, B. Glocker, E. Konukoglu, Context-sensitive classification forests for segmentation of brain tumor tissues, in: Proceedings of MICCAI 2012 Challenge on Multimodal Brain Tumor segmentation, 2012.
2. K. Michael Mahesh, J. ArokiaRenjit, Multiclassifier for severity‐level categorization of glioma tumors using multimodal magnetic resonance imaging brain images, Int. J. Imaging Syst. Technol., 30(1) (2020) 234–251.
3. A. Sathya, S. Senthil, A. Samuel, Segmentation of breast MRI using effective Fuzzy C-Means method based on Support Vector Machine, Inform. Commun. Technol. (WICT), pp. 67–72, 2012.
4. Construction of multi-region-multi-reference atlases for neonatal brain MRI segmentation”;Shi;NeuroImage,2010
5. K.U. Devi, R. Gomathi, Braintumour classification using saliency driven nonlinear diffusion and deep learning with convolutional neural networks (CNN), J. Ambient Intelligence and Humanized Computing, 2020, pp. 1–11.
Cited by
21 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献