Research Article
Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning
Table 2
Models learning parameters.
| ā | CNN | AlexNet | AlexNet-SVM |
| Learning parameters | Values | Values | Values | Training ratio (%) | 80 | 80 | 80 | Initial learning rates | 0.001 | 0.01 | 0.01 | Number of epochs | 100 | 200 | 140 | Training accuracy (%) | 92.89 | 94.12 | 96.34 | Testing accuracy (%) | 90.65 | 92.13 | 93.48 | Achieved mean square error (MSE) | 0.092 | 0.087 | 0.054 |
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