Multiple sclerosis identification by 14-layer convolutional neural network with batch normalization, dropout, and stochastic pooling

Computer Science

• Accuracy 50%
• Artificial Intelligence 50%
• Average Pooling 50%
• Batch Normalization 100%
• Convolutional Neural Network 100%
• Convolutional Neural Network 100%
• Data Augmentation 50%
• Deep Learning 50%
• Diagnosis 50%
• Identification 100%
• Multinomial Distribution 50%