[Retracted] Classification of Alzheimer’s Disease Using Gaussian-Based Bayesian Parameter Optimization for Deep Convolutional LSTM Network

Algorithm 1

Dataset preprocessing.

Step 1: download the selective dataset for multiple subjects

Step 2: classify the subject corresponding to datasets as MCI, AD, and CN if

Step 3: convert from NiFti file to png according to the acquired subject (i.e., brain1.nii to multiple png files)

 Step 3.1: load the NiFti file using nibabel

Step 3.2: fetch the input shape of NiFti file and extract the corresponding slices for orthogonal rotation of 90 degree without interpolation as

//set 4D array dimensions

//extract the total volumes

t//total no. of slices within volume

//iterate through each volume

//iterate through slices

Extract the slice after rotation into 90 degree

s

Display a message not a 4D or 3D shape; please try again

Step 4: Perform resizing of each slice obtained

Step 5: Obtain the resized image for further processing and experimentations