@misc{15485,
  author = {Laurent Amsaleg and Benoit Huet and Martha Larson and Guillaume Gravier and Hayley Hung and Chong-Wah Ngo and Wei Ooi and Steven Hicks and Andreas Petlund and Thomas de Lange and Peter Schmidt and P{\r a}l Halvorsen and Michael Riegler and Pia Smedsrud and Trine Haugen and Kristin Randel and Konstantin Pogorelov and H{\r a}kon Stensland and Duc-Tien Dang-Nguyen and Mathias Lux},
  title = {ACM Multimedia BioMedia 2019 Grand Challenge Overview},
  abstract = {The BioMedia 2019 ACM Multimedia Grand Challenge is the first in a series of competitions focusing on the use of multimedia for different medical use-cases. In this year{\textquoteright}s challenge, the participants are asked to develop efficient algorithms which automatically detect a variety of findings commonly identified in the gastrointestinal (GI) tract (a part of the human digestive system). The purpose of this task is to develop methods to aid medical doctors performing routine endoscopy inspections of the GI tract. In this paper, we give a detailed description of the four different tasks of this year{\textquoteright}s challenge, present the datasets used for training and testing, and discuss how each submission is evaluated both qualitatively and quantitatively.},
  year = {2019},
  journal = {The ACM International Conference on Multimedia (ACM MM)},
  pages = {2563-2567},
  month = {10/2019},
  publisher = {ACM Press},
  address = {New York, New York, USA},
  isbn = {9781450368896},
  url = {http://dl.acm.org/citation.cfm?doid=3343031http://dl.acm.org/citation.cfm?doid=3343031.3356058http://dl.acm.org/ft_gateway.cfm?id=3356058\&ftid=2092095\&dwn=1},
  doi = {10.1145/334303110.1145/3343031.3356058},
}