Vascular Image

Vascular image analysis focuses on extracting meaningful information from images of blood vessels, aiming for improved diagnosis and treatment of various conditions. Current research emphasizes developing efficient algorithms, including deep learning models like convolutional neural networks (CNNs) and adaptations of transfer learning, to analyze these images for tasks such as segmentation, classification (e.g., benign vs. malignant), and perfusion mapping. These advancements are crucial for improving early detection of diseases like stroke and cancer, enabling less invasive diagnostic procedures, and ultimately enhancing patient care.