Adaptive Neuro-Fuzzy Inference System (ANFIS) for Enhanced 3D Brain Reconstruction from MRI Scans
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3305-7_27
Reference17 articles.
1. Kalam R, Thomas C, Rahiman MA (2023) Brain tumor detection in MRI images using adaptive-ANFIS classifier with segmentation of tumor and edema. Soft Comput 27(5):2279–2297. https://doi.org/10.1007/s00500-022-07687-4
2. Karaboga D, Kaya E (2019) Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey. Artif Intell Rev 52(4):2263–2293. https://doi.org/10.1007/s10462-017-9610-2
3. Sri Meena R, Revathi P, Reshma Begum HM, Singh AB (2012) Performance analysis of neural network and ANFIS in brain MR image classification. In: Patnaik S, Yang YM (eds) Soft computing techniques in vision science. Studies in computational intelligence, vol 395. Springer, Berlin, Heidelberg (2012). https://doi.org/10.1007/978-3-642-25507-6_9
4. Rashed BM, Popescu N (2024) Medical image-based diagnosis using a hybrid adaptive neuro-fuzzy inferences system (ANFIS) optimized by ga with a deep network model for features extraction. Mathematics 12(5):633. https://doi.org/10.3390/math12050633
5. Sharma M, Mukherjee S (2013) Brain tumor segmentation using genetic algorithm and artificial neural network fuzzy inference system (ANFIS). In: Meghanathan N, Nagamalai D, Chaki N (eds) Advances in computing and information technology. Advances intelligent system computing, vol 177. Springer, Berlin, Heidelberg (2013). https://doi.org/10.1007/978-3-642-31552-7_35
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