Research Article
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition
Input: block . | Step 1: produce the PM for each pixel . See Equation (7). | Step 2: create a RLV . See Equation (8). | Step 3: draw a sample location vector from the RLV . See Equation (9). | Step 4: output pixel at location . See Equation (10) | Output matrix . |
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