Journal of Healthcare Engineering / 2017 / Article / Tab 4

Research Article

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

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.

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