Brain Image

Brain image analysis focuses on extracting meaningful information from medical images of the brain to aid in diagnosis, prognosis, and understanding of neurological conditions. Current research emphasizes developing efficient and robust algorithms, often employing deep learning architectures like convolutional neural networks (CNNs), transformers, and autoencoders, to address challenges such as limited datasets and computational constraints, particularly in resource-limited settings. These advancements are improving the accuracy and speed of tasks like brain age estimation, Alzheimer's disease detection, and brain tissue segmentation, leading to more effective clinical tools and a deeper understanding of brain structure and function.