HyperAI

Acute Stroke Lesion Segmentation

Acute Stroke Lesion Segmentation refers to the process of accurately identifying and delineating the brain lesion areas in patients with acute stroke using medical imaging techniques. The primary goal is to improve the accuracy and efficiency of lesion detection through automated algorithms, providing a reliable basis for clinical diagnosis and treatment planning. This technology has significant application value in evaluating the extent of stroke lesions, monitoring disease progression, and predicting outcomes, which helps optimize patient management and enhance treatment efficacy.