Exploring the Similarity of Medical Imaging Classification Problems

Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim. Exploring the Similarity of Medical Imaging Classification Problems. In M. Jorge Cardoso, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro, editors, Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings. Volume 10552 of Lecture Notes in Computer Science, pages 59-66, Springer, 2017. [doi]

@inproceedings{CheplyginaMVDP17,
  title = {Exploring the Similarity of Medical Imaging Classification Problems},
  author = {Veronika Cheplygina and Pim Moeskops and Mitko Veta and Behdad Dashtbozorg and Josien P. W. Pluim},
  year = {2017},
  doi = {10.1007/978-3-319-67534-3_7},
  url = {https://doi.org/10.1007/978-3-319-67534-3_7},
  researchr = {https://researchr.org/publication/CheplyginaMVDP17},
  cites = {0},
  citedby = {0},
  pages = {59-66},
  booktitle = {Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis - 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10-14, 2017, Proceedings},
  editor = {M. Jorge Cardoso and Tal Arbel and Su-Lin Lee and Veronika Cheplygina and Simone Balocco and Diana Mateus and Guillaume Zahnd and Lena Maier-Hein and Stefanie Demirci and Eric Granger and Luc Duong and Marc-André Carbonneau and Shadi Albarqouni and Gustavo Carneiro},
  volume = {10552},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-67534-3},
}