Table 4.

Pseudocode of the proposed system.

Step 1: Import.

(a) Import the OASIS dataset.

(b) Ensure MRI as normal or abnormal brain.

Step 2: Resample the image into 256 × 256.

Step 3: Compute 5-level DTCWT on the preprocessed images.

Step 4: Perform PCA on the obtained matrix. The selected number of principal component (PC) should preserve at least 90% of total variances.

Step 5: Train feed-forward neural network by taking input as reduced set of feature vectors and their corresponding class labels.

Step 6: Evaluation

(a) Obtain the confusion matrix.

(b) Calculate the classification accuracy and other essential parameters.