Pancreas Segmentation

Pancreas segmentation is a task in medical image processing that aims to accurately extract the pancreas region from imaging data using convolutional neural networks. The goal of this task is to improve the accuracy of pancreatic lesion detection and diagnosis, providing a reliable basis for clinical treatment. Automated pancreas segmentation can significantly reduce the workload of doctors, enhance diagnostic efficiency, and play a crucial role in applications such as surgical planning and radiation therapy localization.