Brain Tumor

Brain tumor research focuses on improving the accuracy and efficiency of diagnosis and treatment planning, primarily using magnetic resonance imaging (MRI). Current research emphasizes the development of sophisticated deep learning models, including convolutional neural networks (CNNs), vision transformers, and hybrid architectures incorporating attention mechanisms, to analyze multi-modal MRI data and perform tasks such as tumor segmentation and classification. These advancements aim to improve diagnostic accuracy, personalize treatment strategies, and ultimately enhance patient outcomes, impacting both clinical practice and the broader medical imaging field.