Patient-Specific Segmentation

Patient-Specific Segmentation is an advanced application of computer vision technology in medical image processing, aimed at achieving precise segmentation tailored to the specific anatomical structures of each patient. This technique automatically identifies and extracts particular tissues or organs from medical images using deep learning algorithms, enhancing the personalization level of diagnosis and treatment planning. Its application value lies in improving the accuracy and efficiency of image analysis, supporting doctors in formulating more precise treatment plans, and optimizing patient management processes.