• brain activity
• brain seizures
• cnn
• deep learning
• eeg
• electroencephalograms
• elettroencefalogrammi
• epilepsy
• epilessia
• patologie cerebrali

Using medical image data, this thesis will focus on the adoption of deep learning models for harmful brain activity classification. In particular, a detection and classification of anomalies related to electroencephalograms (EEGs) will be performed. Convolutional neural networks (CNNs) will be trained and fine-tuned on a dataset provided by a medical centre, with the aim of improving the identification of pathological brain patterns and contributing to faster and more accurate diagnoses.