Résumé:
The processing of medical images, especially those obtained by magnetic resonance imaging
(MRI), is important for diagnosing certain diseases such as brain tumors. In this study, we
propose a method to automatically detect these tumors using the U-Net network. Our approach
is based on using this architecture to extract distinctive features from MRI images, which are
then used for tumor detection. The results show that our U-Net-based model achieves a
detection accuracy of 95%, demonstrating its effectiveness in this context. These results show
the promising potential of using U-Net to improve the early and accurate detection of brain
tumors from MRI images.
