  Colorectal adenocarcinoma originating in intestinal glandular structures is
the most common form of colon cancer. In clinical practice, the morphology of
intestinal glands, including architectural appearance and glandular formation,
is used by pathologists to inform prognosis and plan the treatment of
individual patients. However, achieving good inter-observer as well as
intra-observer reproducibility of cancer grading is still a major challenge in
modern pathology. An automated approach which quantifies the morphology of
glands is a solution to the problem. This paper provides an overview to the
Gland Segmentation in Colon Histology Images Challenge Contest (GlaS) held at
MICCAI'2015. Details of the challenge, including organization, dataset and
evaluation criteria, are presented, along with the method descriptions and
evaluation results from the top performing methods.
