Diagnosis of Alzheimer’s Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network

Table 4

Pseudocode of the proposed system.

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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.

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