Colorectal Gland Segmentation

The segmentation of colorectal glands refers to the use of image processing and machine learning techniques to accurately identify and delineate glandular structures in colorectal tissue sections. This technology aims to enhance the accuracy and efficiency of pathological diagnosis by automating the process of gland segmentation, helping doctors quickly locate diseased areas and evaluate changes in gland morphology, thereby providing crucial support for early detection and treatment of colorectal cancer. Its application value lies in optimizing medical resources, improving diagnostic quality, and facilitating the development of personalized treatment plans.