Research Article
An Efficient CNN for Radiogenomic Classification of Low-Grade Gliomas on MRI in a Small Dataset
| Type | Filter shape | Input size |
| Input layer | N/A | | Conv2D | | | LeakyReLU | N/A | | Conv2D | | | LeakyReLU | N/A | | Maxpooling | | | Dropout | N/A | | Conv2D | | | LeakyReLU | N/A | | Conv2D | | | LeakyReLU | N/A | | Maxpooling | | | Dropout | N/A | | Conv2D | | | LeakyReLU | N/A | | Conv2D | | | LeakyReLU | N/A | | Maxpooling | | | Conv2D | | | LeakyReLU | N/A | | Conv2D | | | LeakyReLU | N/A | | Maxpooling | | | Gaussian noise | N/A | | Flatten | N/A | 2048 | Dense | N/A | 1024 | LeakyReLU | N/A | 1024 | Dropout | N/A | 1024 | Dense | N/A | 2 | Softmax | N/A | 2 |
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