Deep learning and handcrafted feature based approaches for automatic detection of angiectasia

Konstantin Pogorelov, Olga Ostroukhova, Andreas Petlund, Pål Halvorsen, Thomas de Lange, Håvard Nygaard Espeland, Tomas Kupka, Carsten Griwodz, Michael Riegler. Deep learning and handcrafted feature based approaches for automatic detection of angiectasia. In 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, BHI 2018, Las Vegas, NV, USA, March 4-7, 2018. pages 365-368, IEEE, 2018. [doi]

@inproceedings{PogorelovOPHLEK18,
  title = {Deep learning and handcrafted feature based approaches for automatic detection of angiectasia},
  author = {Konstantin Pogorelov and Olga Ostroukhova and Andreas Petlund and Pål Halvorsen and Thomas de Lange and Håvard Nygaard Espeland and Tomas Kupka and Carsten Griwodz and Michael Riegler},
  year = {2018},
  doi = {10.1109/BHI.2018.8333444},
  url = {https://doi.org/10.1109/BHI.2018.8333444},
  researchr = {https://researchr.org/publication/PogorelovOPHLEK18},
  cites = {0},
  citedby = {0},
  pages = {365-368},
  booktitle = {2018 IEEE EMBS International Conference on Biomedical & Health Informatics, BHI 2018, Las Vegas, NV, USA, March 4-7, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-2405-0},
}