@misc{15551,
  author = {Steven Hicks and P{\r a}l Halvorsen and Trine Haugen and Jorunn Andersen and Oliwia Witczak and Konstantin Pogorelov and Hugo Hammer and Duc-Tien Dang-Nguyen and Mathias Lux and Michael Riegler},
  title = {Medico Multimedia Task at MediaEval 2019},
  abstract = {The Medico: Multimedia for Medicine Task is running for the third time as part of MediaEval 2019. This year, we have changed the task from anomaly detection in images of the gastrointestinal tract to focus on the automatic prediction of human semen quality based on videos. The purpose of this task is to aid in the assessment of male reproductive health by providing a quick and consisted method of analyzing human semen. In this paper, we describe the task in detail, give a brief description of the provided dataset, and discuss the evaluation process and the metrics used to rank the submissions of the participants.},
  year = {2019},
  journal = {MediaEval},
  publisher = {CEUR Workshop Proceedings},
}