Biomedical Microscopic Imaging in Computational Intelligence Using Deep Learning Ensemble Convolution Learning-Based Feature Extraction and Classification

<div>VGG-16 model architecture–13 convolutional layers and 2 fully connected layers and 1 SoftMax classifier VGG-16.</div>

Computational Intelligence and Neuroscience

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Figure 6: Biomedical Microscopic Imaging in Computational Intelligence Using Deep Learning Ensemble Convolution Learning-Based Feature Extraction and Classification 

Figure 6 | Biomedical Microscopic Imaging in Computational Intelligence Using Deep Learning Ensemble Convolution Learning-Based Feature Extraction and Classification 