Research Article
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition
Algorithm 2
Pseudocode of proposed 18-way DA on
th training image
Input: import raw preprocessed th training image . | geometric or photometric or noise-injection DA transforms are utilized on . | Step 1: we obtain . See Equation (12) | Each enhanced dataset contains new images. See Equation (13). | Step 2: a horizontal mirror image is produced as . See Equation (14). | Step 3: -way data augmentation methods are carried out on , | We obtain . See Equation (15). | Step 4: , , , and are merged via . See Equation (16). | Output A new dataset is produced. The number of images is . See Equation (17). |
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