Medical image segmentation identifies and delineates specific structures in medical images, enabling the reconstruction of a 3D model of the patient. By accurately segmenting structures in CT or MRI scans, a detailed 3D representation of the patient's anatomy can be created. This model is used for surgical planning, treatment simulation, and medical research. Medical image segmentation is crucial for personalized treatment plans and improving patient outcomes, as it allows healthcare professionals to visualize and analyze the patient's anatomy more precisely, enhancing diagnosis, treatment, and overall care.