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Convolutional Neural Networks layers.

Convolutional Neural Networks layers.

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Fig. 1. Convolutional Neural Networks layers.
Fig. 2. A Residual Connection Building block.
Fig. 3. Samples of our dataset labeled with their class.
Fig. 4. The number of data per segment in the brain tumor dataset class.
+3 Fig. 5. Confusion Matrix results.
Control and diagnosis of brain tumors using deep neural networks
Conference Paper
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  • May 2023
Early recognition of various brain tumours can be useful for physicians to control and prevent the progression of the disease and can be very effective and useful in rescuing and healing patients. Computer-aided detection (CAD) plays an essential role in diagnosis and detection of numerous diseases. In this study, an artificial intelligence model,...
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... Neural Networks (CNNs) are generally utilized in image and video recognition. Figure 1 shows the structure of CNN [7]. One of the types of CNNs architecture is Residual Network [6] which allows the CNN model to skip layers without affecting performance. ...

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Figure 1: Deep neural network architecture [14].
Figure 2: Confusion matrix obtained for the dataset
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