MRI Scan

Magnetic Resonance Imaging (MRI) scans are a crucial medical imaging technique used for diagnosing a wide range of conditions, from brain tumors and dementia to liver cirrhosis and prostate cancer. Current research heavily utilizes deep learning, employing convolutional neural networks (CNNs), Vision Transformers (ViTs), and hybrid architectures like CNN-LSTM combinations, to automate tasks such as organ segmentation, disease classification, and even predicting acquisition parameters from the image itself. These advancements improve diagnostic accuracy, streamline clinical workflows, and enable more precise treatment planning, ultimately impacting patient care and furthering our understanding of various diseases.