  Colorectal cancer is the third most common cause of cancer worldwide.
According to Global cancer statistics 2018, the incidence of colorectal cancer
is increasing in both developing and developed countries. Early detection of
colon anomalies such as polyps is important for cancer prevention, and
automatic polyp segmentation can play a crucial role for this. Regardless of
the recent advancement in early detection and treatment options, the estimated
polyp miss rate is still around 20\%. Support via an automated computer-aided
diagnosis system could be one of the potential solutions for the overlooked
polyps. Such detection systems can help low-cost design solutions and save
doctors time, which they could for example use to perform more patient
examinations. In this paper, we introduce the 2020 Medico challenge, provide
some information on related work and the dataset, describe the task and
evaluation metrics, and discuss the necessity of organizing the Medico
challenge.
