  Grading of cancer is important to know the extent of its spread. Prior to
grading, segmentation of glandular structures is important. Manual segmentation
is a time consuming process and is subject to observer bias. Hence, an
automated process is required to segment the gland structures. These glands
show a large variation in shape size and texture. This makes the task
challenging as the glands cannot be segmented using mere morphological
operations and conventional segmentation mechanisms. In this project we propose
a method which detects the boundary epithelial cells of glands and then a novel
approach is used to construct the complete gland boundary. The region enclosed
within the boundary can then be obtained to get the segmented gland regions.
