Brain MR Image

Brain MRI image analysis focuses on extracting meaningful information from brain scans for diagnosis and research. Current research heavily utilizes deep learning, employing architectures like convolutional neural networks (CNNs), transformers, and generative adversarial networks (GANs) for tasks such as segmentation, registration, anomaly detection, and artifact removal. These advancements aim to improve diagnostic accuracy, automate time-consuming processes like quality assessment and lesion delineation, and facilitate large-scale studies by addressing challenges like data harmonization and imbalanced datasets. Ultimately, improved brain MRI analysis promises to enhance patient care and accelerate scientific discovery in neurology.