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Chan Sik Han and Keon Myung LeeInternational Journal of Fuzzy Logic and Intelligent Systems 2021;21: 317-337 https://doi.org/10.5391/IJFIS.2021.21.4.317
Ismail Kich, El Bachir Ameur, and Youssef TaouilInternational Journal of Fuzzy Logic and Intelligent Systems 2021;21: 358-368 https://doi.org/10.5391/IJFIS.2021.21.4.358
Chan Sik Han and Keon Myung LeeInternational Journal of Fuzzy Logic and Intelligent Systems 2021;21: 317-337
Nishant Chauhan and Byung-Jae ChoiInternational Journal of Fuzzy Logic and Intelligent Systems 2021;21: 349-357
Brain MRI scans: (a) normal brain, (b) brain tumor, and (c) brain damaged by Alzheimer’s disease.|@|~(^,^)~|@|
Types of brain MRI images: (a) FLAIR, (b) T1, (c) T2, (d) DWI, and (e) fMRI.|@|~(^,^)~|@|
Proposed model architecture based on deep learning approach for brain MRI classification using FCM and AE features.|@|~(^,^)~|@|
Augmented images were obtained through spatial and intensity augmentation.|@|~(^,^)~|@|
Brain MRI segmentation using FCM.|@|~(^,^)~|@|
Features extracted using AE.|@|~(^,^)~|@|
The training and validation accuracy curves of the proposed method.