Brain Tumor Segmentation Using Genetic Algorithm and Artificial Neural Network Fuzzy Inference System (ANFIS)

Author:

Sharma Minakshi,Mukharjee Sourabh

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Jude Hemanth, D., Kezi Selva Vijila, C., Anitha, J.: Application of Neuro-Fuzzy Model for MR Brain Tumor Image Classification. Biomedical Soft Computing and Human Sciences 16(1), 95–102 (2010)

2. Bose, N.K., Liang, P.: Neural Network Fundamentals with Graphs, Algorithms, and Applications. TMH, India (2004)

3. Gonzalez, R.C., Richard, E.W.: Digital ImageProcessing, II Indian edn. Pearson Education, New Delhi (2004)

4. Hosseini, M.S., Zekri, M.: A review of medical image classification using Adaptive Neuro-Fuzzy Inference System (ANFIS). Journal of Medical Signals and Sensors, 51–62 (2012)

5. Khalid, N.E.A., Ibrahim, S., Manaf, M.: Brain Abnormalities Segmentation Performances contrasting: Adaptive Network-Based Fuzzy Inference System (ANFIS) vs K-Nearest Neighbors (k-NN) vs Fuzzy c-Means (FCM). Recent Researches in Computer Science, 285–290

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