The International Journal of Fuzzy Logic and Intelligent Systems

eISSN 2093-744X
pISSN 1598-2645

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.

|@|~(^,^)~|@|

AE architecture.

|@|~(^,^)~|@|

Features extracted using AE.

|@|~(^,^)~|@|

DNN classifier.

|@|~(^,^)~|@|

Performance comparison.

|@|~(^,^)~|@|

The training and validation accuracy curves of the proposed method.

International Journal of Fuzzy Logic and Intelligent Systems 2021;21:349~357 https://doi.org/10.5391/IJFIS.2021.21.4.349

International Journal
of Fuzzy Logic and
Intelligent Systems